Components
4
Twig Components
8
Render Count
12
ms
Render Time
328.0
MiB
Memory Usage
Components
| Name | Metadata | Render Count | Render Time |
|---|---|---|---|
| ProductState |
"App\Twig\Components\ProductState"components/ProductState.html.twig |
3 | 0.84ms |
| ProductMostRecent |
"App\Twig\Components\ProductMostRecent"components/ProductMostRecent.html.twig |
3 | 2.65ms |
| ProductType |
"App\Twig\Components\ProductType"components/ProductType.html.twig |
1 | 0.27ms |
| ProductCard |
"App\Twig\Components\ProductCard"components/ProductCard.html.twig |
1 | 9.06ms |
Render calls
| ProductState | App\Twig\Components\ProductState | 328.0 MiB | 0.45 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } "showFullLabel" => "true" ] |
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| Attributes | [ "showFullLabel" => "true" ] |
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| Component | App\Twig\Components\ProductState {#93054 +product: App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } +appearance: "state-active" +labels: [ "Active" ] -stateAttributeCode: "state" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductType | App\Twig\Components\ProductType | 328.0 MiB | 0.27 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } ] |
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| Attributes | [] |
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| Component | App\Twig\Components\ProductType {#93234 +product: App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } +label: "Standard" -typeAttributeCode: "type" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductMostRecent | App\Twig\Components\ProductMostRecent | 328.0 MiB | 1.01 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } ] |
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| Attributes | [] |
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| Component | App\Twig\Components\ProductMostRecent {#93309 +product: App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } +label: "Most Recent" +icon: "check-xs" -mostRecentAttributeCode: "most_recent" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductState | App\Twig\Components\ProductState | 328.0 MiB | 0.24 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } "showFullLabel" => "true" ] |
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| Attributes | [ "showFullLabel" => "true" ] |
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| Component | App\Twig\Components\ProductState {#100265 +product: App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } +appearance: "state-active" +labels: [ "Active" ] -stateAttributeCode: "state" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
|||
| ProductMostRecent | App\Twig\Components\ProductMostRecent | 328.0 MiB | 1.03 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } ] |
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| Component | App\Twig\Components\ProductMostRecent {#100349 +product: App\Entity\Product\Product {#7310 #id: 12871 #code: "IEEE00010842" #attributes: Doctrine\ORM\PersistentCollection {#7700 …} #variants: Doctrine\ORM\PersistentCollection {#7743 …} #options: Doctrine\ORM\PersistentCollection {#7915 …} #associations: Doctrine\ORM\PersistentCollection {#7899 …} #createdAt: DateTime @1751040714 {#7274 : 2025-06-27 18:11:54.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7921 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7920 #locale: "en_US" #translatable: App\Entity\Product\Product {#7310} #id: 46493 #name: "IEEE 3154:2024" #slug: "ieee-3154-2024-ieee00010842-244529" #description: """ New IEEE Standard - Active - Draft.<br />\n Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.<br />\n \t\t\t\t<br />\n This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including<br />\n a) description of the construction process and workflow for knowledge graphs for talent services,<br />\n b) definition of the technical procedure for each part of the construction process,<br />\n c) introduction of the application scenarios of knowledge graphs for talent services.<br />\n The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Approved Draft Recommended Practice for the Application of Knowledge Graphs for Talent Services" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …} #channels: Doctrine\ORM\PersistentCollection {#7627 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#7612 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7644 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1721599200 {#7292 : 2024-07-22 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1720130400 {#7318 : 2024-07-05 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "3154" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7464 …} -favorites: Doctrine\ORM\PersistentCollection {#7499 …} } +label: "Most Recent" +icon: "check-xs" -mostRecentAttributeCode: "most_recent" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductCard | App\Twig\Components\ProductCard | 328.0 MiB | 9.06 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#121583 #id: 12369 #code: "IEEE00007525" #attributes: Doctrine\ORM\PersistentCollection {#121607 …} #variants: Doctrine\ORM\PersistentCollection {#121605 …} #options: Doctrine\ORM\PersistentCollection {#121600 …} #associations: Doctrine\ORM\PersistentCollection {#121603 …} #createdAt: DateTime @1751040387 {#121596 : 2025-06-27 18:06:27.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1753970953 {#121589 : 2025-07-31 16:09:13.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#121618 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#121720 #locale: "en_US" #translatable: App\Entity\Product\Product {#121583} #id: 44485 #name: "IEEE 2807:2022" #slug: "ieee-2807-2022-ieee00007525-244022" #description: """ New IEEE Standard - Active.<br />\n A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in detail. This standard can be applied in various organizations that plan, design, develop, implement, and apply knowledge and in organizations that develop support technologies, tools, and services to knowledge graphs.<br />\n \t\t\t\t<br />\n This standard defines the framework of knowledge graphs (KGs). The framework describes the input requirement of KG; construction process of KG, that is, extraction, storage, fusion, and understanding; performance metrics; applications of KG; verticals; KG-related artificial intelligence (AI) technologies; and other required digital infrastructure.<br />\n The purpose of this standard is to define the framework of KGs. This framework will help enterprises, especially small- and medium-sized enterprises and start-ups, which develop KG applications to follow a general KG construction method. In addition, the proposed framework will help digital infrastructure suppliers, such as cloud developers and IT security engineers, to understand the KG diagrams and provide more efficient tools to support KG. Vertical applications may extract more types of knowledge and generate more applications after applying the standardized framework. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Standard for Framework of Knowledge Graphs" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#121616 …} #channels: Doctrine\ORM\PersistentCollection {#121609 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#121613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#121611 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#121623 …} -apiLastModifiedAt: DateTime @1743289200 {#121582 : 2025-03-30 00:00:00.0 Europe/Paris (+01:00) } -lastUpdatedAt: DateTime @1681855200 {#121631 : 2023-04-19 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1673218800 {#121602 : 2023-01-09 00:00:00.0 Europe/Paris (+01:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "2807" -bookCollection: "" -pageCount: 52 -documents: Doctrine\ORM\PersistentCollection {#121622 …} -favorites: Doctrine\ORM\PersistentCollection {#121620 …} } "layout" => "vertical" "showPrice" => true "showStatusBadges" => true "additionalClasses" => "product__teaser--with-grey-border" "hasStretchedLink" => true "hoverType" => "shadow" "linkLabel" => "See more" ] |
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| Component | App\Twig\Components\ProductCard {#121675 +product: App\Entity\Product\Product {#121583 #id: 12369 #code: "IEEE00007525" #attributes: Doctrine\ORM\PersistentCollection {#121607 …} #variants: Doctrine\ORM\PersistentCollection {#121605 …} #options: Doctrine\ORM\PersistentCollection {#121600 …} #associations: Doctrine\ORM\PersistentCollection {#121603 …} #createdAt: DateTime @1751040387 {#121596 : 2025-06-27 18:06:27.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1753970953 {#121589 : 2025-07-31 16:09:13.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#121618 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#121720 #locale: "en_US" #translatable: App\Entity\Product\Product {#121583} #id: 44485 #name: "IEEE 2807:2022" #slug: "ieee-2807-2022-ieee00007525-244022" #description: """ New IEEE Standard - Active.<br />\n A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in detail. This standard can be applied in various organizations that plan, design, develop, implement, and apply knowledge and in organizations that develop support technologies, tools, and services to knowledge graphs.<br />\n \t\t\t\t<br />\n This standard defines the framework of knowledge graphs (KGs). The framework describes the input requirement of KG; construction process of KG, that is, extraction, storage, fusion, and understanding; performance metrics; applications of KG; verticals; KG-related artificial intelligence (AI) technologies; and other required digital infrastructure.<br />\n The purpose of this standard is to define the framework of KGs. This framework will help enterprises, especially small- and medium-sized enterprises and start-ups, which develop KG applications to follow a general KG construction method. In addition, the proposed framework will help digital infrastructure suppliers, such as cloud developers and IT security engineers, to understand the KG diagrams and provide more efficient tools to support KG. Vertical applications may extract more types of knowledge and generate more applications after applying the standardized framework. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Standard for Framework of Knowledge Graphs" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#121616 …} #channels: Doctrine\ORM\PersistentCollection {#121609 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#121613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#121611 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#121623 …} -apiLastModifiedAt: DateTime @1743289200 {#121582 : 2025-03-30 00:00:00.0 Europe/Paris (+01:00) } -lastUpdatedAt: DateTime @1681855200 {#121631 : 2023-04-19 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1673218800 {#121602 : 2023-01-09 00:00:00.0 Europe/Paris (+01:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "2807" -bookCollection: "" -pageCount: 52 -documents: Doctrine\ORM\PersistentCollection {#121622 …} -favorites: Doctrine\ORM\PersistentCollection {#121620 …} } +layout: "vertical" +showPrice: true +showStatusBadges: true +additionalClasses: "product__teaser--with-grey-border" +linkLabel: "See more" +imageFilter: "product_thumbnail_teaser" +hasStretchedLink: true +backgroundColor: "white" +hoverType: "shadow" } |
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| ProductState | App\Twig\Components\ProductState | 328.0 MiB | 0.16 ms | |
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| Input props | [ "product" => App\Entity\Product\Product {#121583 #id: 12369 #code: "IEEE00007525" #attributes: Doctrine\ORM\PersistentCollection {#121607 …} #variants: Doctrine\ORM\PersistentCollection {#121605 …} #options: Doctrine\ORM\PersistentCollection {#121600 …} #associations: Doctrine\ORM\PersistentCollection {#121603 …} #createdAt: DateTime @1751040387 {#121596 : 2025-06-27 18:06:27.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1753970953 {#121589 : 2025-07-31 16:09:13.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#121618 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#121720 #locale: "en_US" #translatable: App\Entity\Product\Product {#121583} #id: 44485 #name: "IEEE 2807:2022" #slug: "ieee-2807-2022-ieee00007525-244022" #description: """ New IEEE Standard - Active.<br />\n A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in detail. This standard can be applied in various organizations that plan, design, develop, implement, and apply knowledge and in organizations that develop support technologies, tools, and services to knowledge graphs.<br />\n \t\t\t\t<br />\n This standard defines the framework of knowledge graphs (KGs). The framework describes the input requirement of KG; construction process of KG, that is, extraction, storage, fusion, and understanding; performance metrics; applications of KG; verticals; KG-related artificial intelligence (AI) technologies; and other required digital infrastructure.<br />\n The purpose of this standard is to define the framework of KGs. This framework will help enterprises, especially small- and medium-sized enterprises and start-ups, which develop KG applications to follow a general KG construction method. In addition, the proposed framework will help digital infrastructure suppliers, such as cloud developers and IT security engineers, to understand the KG diagrams and provide more efficient tools to support KG. Vertical applications may extract more types of knowledge and generate more applications after applying the standardized framework. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Standard for Framework of Knowledge Graphs" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#121616 …} #channels: Doctrine\ORM\PersistentCollection {#121609 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#121613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#121611 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#121623 …} -apiLastModifiedAt: DateTime @1743289200 {#121582 : 2025-03-30 00:00:00.0 Europe/Paris (+01:00) } -lastUpdatedAt: DateTime @1681855200 {#121631 : 2023-04-19 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1673218800 {#121602 : 2023-01-09 00:00:00.0 Europe/Paris (+01:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "2807" -bookCollection: "" -pageCount: 52 -documents: Doctrine\ORM\PersistentCollection {#121622 …} -favorites: Doctrine\ORM\PersistentCollection {#121620 …} } ] |
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| Component | App\Twig\Components\ProductState {#121722 +product: App\Entity\Product\Product {#121583 #id: 12369 #code: "IEEE00007525" #attributes: Doctrine\ORM\PersistentCollection {#121607 …} #variants: Doctrine\ORM\PersistentCollection {#121605 …} #options: Doctrine\ORM\PersistentCollection {#121600 …} #associations: Doctrine\ORM\PersistentCollection {#121603 …} #createdAt: DateTime @1751040387 {#121596 : 2025-06-27 18:06:27.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1753970953 {#121589 : 2025-07-31 16:09:13.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#121618 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#121720 #locale: "en_US" #translatable: App\Entity\Product\Product {#121583} #id: 44485 #name: "IEEE 2807:2022" #slug: "ieee-2807-2022-ieee00007525-244022" #description: """ New IEEE Standard - Active.<br />\n A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in detail. This standard can be applied in various organizations that plan, design, develop, implement, and apply knowledge and in organizations that develop support technologies, tools, and services to knowledge graphs.<br />\n \t\t\t\t<br />\n This standard defines the framework of knowledge graphs (KGs). The framework describes the input requirement of KG; construction process of KG, that is, extraction, storage, fusion, and understanding; performance metrics; applications of KG; verticals; KG-related artificial intelligence (AI) technologies; and other required digital infrastructure.<br />\n The purpose of this standard is to define the framework of KGs. This framework will help enterprises, especially small- and medium-sized enterprises and start-ups, which develop KG applications to follow a general KG construction method. In addition, the proposed framework will help digital infrastructure suppliers, such as cloud developers and IT security engineers, to understand the KG diagrams and provide more efficient tools to support KG. Vertical applications may extract more types of knowledge and generate more applications after applying the standardized framework. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Standard for Framework of Knowledge Graphs" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#121616 …} #channels: Doctrine\ORM\PersistentCollection {#121609 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#121613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#121611 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#121623 …} -apiLastModifiedAt: DateTime @1743289200 {#121582 : 2025-03-30 00:00:00.0 Europe/Paris (+01:00) } -lastUpdatedAt: DateTime @1681855200 {#121631 : 2023-04-19 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1673218800 {#121602 : 2023-01-09 00:00:00.0 Europe/Paris (+01:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "2807" -bookCollection: "" -pageCount: 52 -documents: Doctrine\ORM\PersistentCollection {#121622 …} -favorites: Doctrine\ORM\PersistentCollection {#121620 …} } +appearance: "state-active" +labels: [ "Active" ] -stateAttributeCode: "state" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductMostRecent | App\Twig\Components\ProductMostRecent | 328.0 MiB | 0.62 ms | |
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| Input props | [ "product" => App\Entity\Product\Product {#121583 #id: 12369 #code: "IEEE00007525" #attributes: Doctrine\ORM\PersistentCollection {#121607 …} #variants: Doctrine\ORM\PersistentCollection {#121605 …} #options: Doctrine\ORM\PersistentCollection {#121600 …} #associations: Doctrine\ORM\PersistentCollection {#121603 …} #createdAt: DateTime @1751040387 {#121596 : 2025-06-27 18:06:27.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1753970953 {#121589 : 2025-07-31 16:09:13.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#121618 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#121720 #locale: "en_US" #translatable: App\Entity\Product\Product {#121583} #id: 44485 #name: "IEEE 2807:2022" #slug: "ieee-2807-2022-ieee00007525-244022" #description: """ New IEEE Standard - Active.<br />\n A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in detail. This standard can be applied in various organizations that plan, design, develop, implement, and apply knowledge and in organizations that develop support technologies, tools, and services to knowledge graphs.<br />\n \t\t\t\t<br />\n This standard defines the framework of knowledge graphs (KGs). The framework describes the input requirement of KG; construction process of KG, that is, extraction, storage, fusion, and understanding; performance metrics; applications of KG; verticals; KG-related artificial intelligence (AI) technologies; and other required digital infrastructure.<br />\n The purpose of this standard is to define the framework of KGs. This framework will help enterprises, especially small- and medium-sized enterprises and start-ups, which develop KG applications to follow a general KG construction method. In addition, the proposed framework will help digital infrastructure suppliers, such as cloud developers and IT security engineers, to understand the KG diagrams and provide more efficient tools to support KG. Vertical applications may extract more types of knowledge and generate more applications after applying the standardized framework. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Standard for Framework of Knowledge Graphs" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#121616 …} #channels: Doctrine\ORM\PersistentCollection {#121609 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#121613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#121611 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#121623 …} -apiLastModifiedAt: DateTime @1743289200 {#121582 : 2025-03-30 00:00:00.0 Europe/Paris (+01:00) } -lastUpdatedAt: DateTime @1681855200 {#121631 : 2023-04-19 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1673218800 {#121602 : 2023-01-09 00:00:00.0 Europe/Paris (+01:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "2807" -bookCollection: "" -pageCount: 52 -documents: Doctrine\ORM\PersistentCollection {#121622 …} -favorites: Doctrine\ORM\PersistentCollection {#121620 …} } ] |
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| Attributes | [] |
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| Component | App\Twig\Components\ProductMostRecent {#121799 +product: App\Entity\Product\Product {#121583 #id: 12369 #code: "IEEE00007525" #attributes: Doctrine\ORM\PersistentCollection {#121607 …} #variants: Doctrine\ORM\PersistentCollection {#121605 …} #options: Doctrine\ORM\PersistentCollection {#121600 …} #associations: Doctrine\ORM\PersistentCollection {#121603 …} #createdAt: DateTime @1751040387 {#121596 : 2025-06-27 18:06:27.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1753970953 {#121589 : 2025-07-31 16:09:13.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#121618 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#121720 #locale: "en_US" #translatable: App\Entity\Product\Product {#121583} #id: 44485 #name: "IEEE 2807:2022" #slug: "ieee-2807-2022-ieee00007525-244022" #description: """ New IEEE Standard - Active.<br />\n A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in detail. This standard can be applied in various organizations that plan, design, develop, implement, and apply knowledge and in organizations that develop support technologies, tools, and services to knowledge graphs.<br />\n \t\t\t\t<br />\n This standard defines the framework of knowledge graphs (KGs). The framework describes the input requirement of KG; construction process of KG, that is, extraction, storage, fusion, and understanding; performance metrics; applications of KG; verticals; KG-related artificial intelligence (AI) technologies; and other required digital infrastructure.<br />\n The purpose of this standard is to define the framework of KGs. This framework will help enterprises, especially small- and medium-sized enterprises and start-ups, which develop KG applications to follow a general KG construction method. In addition, the proposed framework will help digital infrastructure suppliers, such as cloud developers and IT security engineers, to understand the KG diagrams and provide more efficient tools to support KG. Vertical applications may extract more types of knowledge and generate more applications after applying the standardized framework. """ #metaKeywords: null #metaDescription: null #shortDescription: "IEEE Standard for Framework of Knowledge Graphs" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#121616 …} #channels: Doctrine\ORM\PersistentCollection {#121609 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …} #reviews: Doctrine\ORM\PersistentCollection {#121613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#121611 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#121623 …} -apiLastModifiedAt: DateTime @1743289200 {#121582 : 2025-03-30 00:00:00.0 Europe/Paris (+01:00) } -lastUpdatedAt: DateTime @1681855200 {#121631 : 2023-04-19 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1673218800 {#121602 : 2023-01-09 00:00:00.0 Europe/Paris (+01:00) } -releasedAt: null -confirmedAt: null -canceledAt: null -edition: null -coreDocument: "2807" -bookCollection: "" -pageCount: 52 -documents: Doctrine\ORM\PersistentCollection {#121622 …} -favorites: Doctrine\ORM\PersistentCollection {#121620 …} } +label: "Most Recent" +icon: "check-xs" -mostRecentAttributeCode: "most_recent" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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