From c113499b8e22bb8f70b02020d69fa47eb36978fd Mon Sep 17 00:00:00 2001 From: andreea Date: Mon, 17 Jun 2024 12:44:15 +0300 Subject: [PATCH] updated references --- .../ROOT/pages/conceptual-framework.adoc | 8 +-- docs/modules/ROOT/pages/introduction.adoc | 14 ++-- docs/modules/ROOT/pages/references.adoc | 72 +++++++++---------- .../ROOT/pages/semic-core-vocabularies.adoc | 22 +++--- docs/modules/ROOT/pages/use-cases.adoc | 8 +-- 5 files changed, 62 insertions(+), 62 deletions(-) diff --git a/docs/modules/ROOT/pages/conceptual-framework.adoc b/docs/modules/ROOT/pages/conceptual-framework.adoc index 4dbbd87..ad1f28f 100644 --- a/docs/modules/ROOT/pages/conceptual-framework.adoc +++ b/docs/modules/ROOT/pages/conceptual-framework.adoc @@ -48,7 +48,7 @@ Beyond these foundational elements, semantic data specifications may also incorp * *JSON-LD context definitions:* Facilitating the mapping of JSON to RDF linked data representation. * *XML Schemas (XSD):* Defining the structure and validating the constraints of XML documents. -* *API (Component) Specifications (REST, WSDL or GraphQL):* Outlining the request, response and parameters for web-based data access and manipulation [[ref:25]]. Such components are generally reusable blocks to facilitate reusability and maintenance of APIs. +* *API (Component) Specifications (REST, WSDL or GraphQL):* Outlining the request, response and parameters for web-based data access and manipulation [[ref:25]][swagger]. Such components are generally reusable blocks to facilitate reusability and maintenance of APIs. [[sec:artefacts-across-interoperability-layers]] === Artefacts across interoperability layers @@ -70,7 +70,7 @@ We can discern three interconnected layers each representing a different level o image::data:image/png;base64,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[] -The *Upper Layer* accommodates the most abstract form of semantic data specifications. These specifications are context-free, meaning that they are not tied to any particular domain or application, and can be universally applied across various fields. These semantic data specifications, provide the broadest concepts that can be reused in numerous contexts. Here we generally find upper level ontologies (defining highly abstract foundational concepts such as “object”, “property”, “event” etc.), but also the core semantic data specifications, which, although more specific, can also be applied across multiple domains. The main objective of the Core Vocabularies is to provide terms to be reused in the broadest possible context [[ref:26]]. +The *Upper Layer* accommodates the most abstract form of semantic data specifications. These specifications are context-free, meaning that they are not tied to any particular domain or application, and can be universally applied across various fields. These semantic data specifications, provide the broadest concepts that can be reused in numerous contexts. Here we generally find upper level ontologies (defining highly abstract foundational concepts such as “object”, “property”, “event” etc.), but also the core semantic data specifications, which, although more specific, can also be applied across multiple domains. The main objective of the Core Vocabularies is to provide terms to be reused in the broadest possible context [[ref:26]][sem-sg-wsds]. Upper ontologies and core semantic data specifications serve as a scaffolding for domain ontologies, offering a hierarchy where the more general terms of the upper ontology act as superclasses (in some cases even as metaclasses) to the more specific classes of domain ontologies. This arrangement supports the structuring and integration of knowledge by providing common reference points that enhance understanding and data processing across different systems. @@ -113,10 +113,10 @@ Examples: This document The *Textbook* (or explanatory manual) is an explanatory type of documentation and focuses on deepening the users’ understanding of the underlying concepts and principles incorporated into the semantic data specification. It aims to inform cognition, enhancing the user's theoretical knowledge and conceptual insight, which is critical for those looking to gain a more profound grasp of the specification's rationale, decisions, strengths and limitations. -Examples: SEMIC Style Guide [[ref:4]] +Examples: SEMIC Style Guide [[ref:4]][sem-sg] The *Reference* document is a technical type of documentation and provides concise, detailed information about various elements of the semantic data specification. It serves users who are already familiar with the theoretical framework and need to apply their knowledge to specific tasks. This artefact is a go-to resource for factual and objective data about the semantic specifications, such as semantics, syntax, entities, properties, relationships, and constraints within the data model. -Examples: reference documents for Core Person [[ref:28]], Core Business [[ref:29]], etc. +Examples: reference documents for Core Person [[ref:28]][cpv], Core Business [[ref:29]][cbv], etc. These documentation artefacts are designed to collectively support the user’s journey from novice to expert within the semantic data specification domain. The Usage Manual aids in initial skill acquisition, the Explanatory Textbook supports deeper learning and understanding, and the Reference Documentation acts as a reliable resource for informed application and use. Together, they ensure that users at different stages of learning and practice have access to the appropriate materials to meet their needs. diff --git a/docs/modules/ROOT/pages/introduction.adoc b/docs/modules/ROOT/pages/introduction.adoc index b4eb45a..020a8fa 100644 --- a/docs/modules/ROOT/pages/introduction.adoc +++ b/docs/modules/ROOT/pages/introduction.adoc @@ -5,8 +5,8 @@ Interoperability in the EU context refers to the capacity of systems or organisations, including public administrations, businesses, and citizens, to collaborate effectively and pursue common objectives across borders. This capability is crucial for providing efficient digital public services, facilitating economic transactions, and supporting the free movement of goods, -services, people, and data. The European Interoperability Framework (EIF) [[ref:1]], [[ref:2]] and Interoperable Europe Act -(IEA) [[ref:3]] emphasise that interoperability involves the seamless exchange of information and trusted data sharing across +services, people, and data. The European Interoperability Framework (EIF)[xref:references.adoc#ref:eif[eif]], [[ref:2]][eif2] and Interoperable Europe Act +(IEA) [[ref:3]][reg24-903] emphasise that interoperability involves the seamless exchange of information and trusted data sharing across sectors and administrative layers, which is essential for improving policy-making and public service delivery. The term itself combines ‘inter’ (Latin for between), ‘opera’ (Latin for work), and ‘ability’, suggesting the intrinsic nature @@ -35,7 +35,7 @@ and decision-making at all governmental levels. [[sec:interoperability-through-semantic-specifications]] === Interoperability through semantic specifications -The EIF [[ref:1]], [[ref:2]] identifies four crucial layers of interoperability necessary for effective data exchange across the +The EIF [[ref:1]], [[ref:2]][eif2] identifies four crucial layers of interoperability necessary for effective data exchange across the EU: Legal, Organisational, Semantic, and Technical. The Semantic and Technical layers, in particular, play pivotal roles in ensuring that data is not only exchanged efficiently but also understood consistently by all parties involved. @@ -51,7 +51,7 @@ that help manage how data is defined, represented, and communicated across diffe that are both machine-readable and human-understandable, thus supporting consistent interpretation and utilisation across diverse IT environments and stakeholders (e.g. developers, business experts, end users, administrators, etc.). -The SEMIC Style Guide [[ref:4]] serves as an important resource in this context, providing essential guidelines on creating +The SEMIC Style Guide [[ref:4]][sem-sg] serves as an important resource in this context, providing essential guidelines on creating and managing such specifications. It covers naming conventions, syntax, and the organisation of artefacts within two critical types of semantic data specifications: Core Vocabularies and Application Profiles. @@ -62,10 +62,10 @@ practices, ensuring seamless service delivery that meets the needs of citizens a [[sec:what-are-the-core-vocabularies]] === What are the Core Vocabularies? -In the vision document “e-Government Core Vocabularies” [[ref:5]], Core Vocabularies are defined as simplified, reusable and +In the vision document “e-Government Core Vocabularies” [[ref:5]][cv-hb], Core Vocabularies are defined as simplified, reusable and extensible data models that capture the fundamental characteristics of a data entity in a context-neutral and syntax-neutral -fashion. SEMIC style guide provides a terminological clarification about the Core Vocabularies [[ref:6]] and elaborates that they -are context-neutral semantic building blocks, like the Dublin Core Terms [[ref:7]] or the Organization Ontology [[ref:8]], that can +fashion. SEMIC style guide provides a terminological clarification about the Core Vocabularies [[ref:6]][sem--sg-cvs] and elaborates that they +are context-neutral semantic building blocks, like the Dublin Core Terms [[ref:7]][dcmi] or the Organization Ontology [[ref:8]][org], that can be extended into context-specific semantic data specifications. The use of the Core Vocabularies as a common building block for developing context-specific data models guarantees a minimum of semantic consistency. When the Core Vocabularies are extended to create domain specifications and information exchange models, additional meaning (semantics) is added to the specifications, diff --git a/docs/modules/ROOT/pages/references.adoc b/docs/modules/ROOT/pages/references.adoc index 0c6cfb0..35d9d52 100644 --- a/docs/modules/ROOT/pages/references.adoc +++ b/docs/modules/ROOT/pages/references.adoc @@ -1,39 +1,39 @@ == References -. [[ref:1]] New European Interoperability Framework. Available at: https://ec.europa.eu/isa2/sites/default/files/eif_brochure_final.pdf -. [[ref:2]] European Interoperability Framework – Implementation Strategy. Available at: https://eur-lex.europa.eu/resource.html?uri=cellar:2c2f2554-0faf-11e7-8a35-01aa75ed71a1.0017.02/DOC_1&format=PDF -. [[ref:3]] REGULATION (EU) 2024/903. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202400903 -. [[ref:4]] The SEMIC Style Guide for Semantic Engineers. Available at: https://semiceu.github.io/style-guide -. [[ref:5]] e-Government Core Vocabularies handbook. Available at: https://joinup.ec.europa.eu/sites/default/files/inline-files/ISA%20Handbook%20for%20using%20Core%20Vocabularies.pdf -. [[ref:6]] The SEMIC Style Guide for Semantic Engineers: What is a Core Vocabulary (CV) specification?. Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-cv-specification -. [[ref:7]] DCMI Metadata Terms. Available at: https://www.dublincore.org/specifications/dublin-core/dcmi-terms/#section-1 -. [[ref:8]] The Organization Ontology. Available at: https://www.w3.org/TR/vocab-org/ -. [[ref:9]] SEMIC Support Center. Available at: https://joinup.ec.europa.eu/collection/semic-support-centre/specifications -. [[ref:10]] Semantic Interoperability Community GitHub repository. Available at: https://github.com/SEMICeu -. [[ref:11]] The SEMIC Style Guide for Semantic Engineers: What is an ontology? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-an-ontology -. [[ref:12]] Motik, B., Patel-Schneider, P. F., Parsia, B., Bock, C., Fokoue, A., Haase, P., …​ & Smith, M. (2009). OWL 2 web ontology language: Structural specification and functional-style syntax. W3C recommendation, 27(65), 159. Available at: http://www.w3.org/TR/2012/REC-owl2-syntax-20121211/ -. [[ref:13]] The SEMIC Style Guide for Semantic Engineers: What is a data shape specification? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-data-shape-contraint -. [[ref:14]] Knublauch, H., & Kontokostas, D. (2017). Shapes Constraint Language (SHACL), W3C Recommendation. World Wide Web Consortium. Available at: https://www.w3.org/TR/shacl/ -. [[ref:15]] The SEMIC Style Guide for Semantic Engineers: What is a data specification document? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-specification-document -. [[ref:16]] ReSpec Documentation. Available at: https://respec.org/docs/ -. [[ref:17]] Sporny, M., Longley, D., Kellogg, G., Lanthaler, M., & Lindström, N. (2020). JSON-LD 1.1. W3C Recommendation, Jul. -. [[ref:18]] The SEMIC Style Guide for Semantic Engineers: Technical artefacts and concerns. Available at: https://semiceu.github.io/style-guide/1.0.0/arhitectural-clarifications.html#sec:technical-concerns-and-artefacts -. [[ref:19]] The SEMIC Style Guide for Semantic Engineers: What is a conceptual model? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-conceptual-model -. [[ref:20]] Unified Modeling Language. Available at: https://www.omg.org/spec/UML -. [[ref:21]] CC-BY 4.0 licence. Available at: https://creativecommons.org/licenses/by/4.0/ -. [[ref:22]] EC11a -. [[ref:23]] D3.1 – PROCESS AND METHODOLOGY FOR CORE VOCABULARIES. Available at: https://joinup.ec.europa.eu/sites/default/files/document/2012-03/D3.1-Process%20and%20Methodology%20for%20Core%20Vocabularies_v1.01.pdf -. [[ref:24]] The SEMIC Style Guide for Semantic Engineers: Clarifications on "reuse". Available at: https://semiceu.github.io/style-guide/1.0.0/clarification-on-reuse.html -. [[ref:25]] Swagger OpenAPI Guide: Components Section. Available at: https://swagger.io/docs/specification/components/ -. [[ref:26]] The SEMIC Style Guide for Semantic Engineers: What is a semantic data specification? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-specification-document -. [[ref:27]] Diataxis. Available at: https://diataxis.fr/ -. [[ref:28]] Barthelemy, F. et al. Core Person vocabulary. Available at: https://semiceu.github.io/Core-Person-Vocabulary/releases/2.00 -. [[ref:29]] Barthelemy, F. et al. Core Business Vocabulary. Available at: https://semiceu.github.io/Core-Business-Vocabulary/releases/2.2.0/ -. [[ref:30]] According to the classification of A. Cockburn in “Writing Effective Use Cases” Cockburn99, pg 14-15 -. [[ref:31]] OOTS XML schema mappings. Available at: https://ec.europa.eu/digital-building-blocks/sites/pages/viewpage.action?pageId=706382149 -. [[ref:32]] Core Person Vocabulary - JSON-LD. Available at: https://github.com/SEMICeu/Core-Person-Vocabulary/blob/master/releases/2.1.1/context/core-person-ap.jsonld -. [[ref:33]] Core Business Vocabulary - JSON-LD. Available at: https://github.com/SEMICeu/Core-Business-Vocabulary/blob/master/releases/2.2.0/context/core-business-ap.jsonld -. [[ref:34]] Mapping Core Person to Schema.org. Available at: https://github.com/SEMICeu/Semantic-Mappings/tree/main/Core%20Person/Schema.org -. [[ref:35]] Mapping Core Business to Schema.org. Available at: https://github.com/SEMICeu/Semantic-Mappings/tree/main/Core%20Business/Schema.org +- *[[ref:eif]][eif]* New European Interoperability Framework. Available at: https://ec.europa.eu/isa2/sites/default/files/eif_brochure_final.pdf +- *[[ref:2]][eif2]* European Interoperability Framework – Implementation Strategy. Available at: https://eur-lex.europa.eu/resource.html?uri=cellar:2c2f2554-0faf-11e7-8a35-01aa75ed71a1.0017.02/DOC_1&format=PDF +- *[[ref:3]][reg24-903]* REGULATION (EU) 2024/903. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202400903 +- *[[ref:4]][sem-sg]* The SEMIC Style Guide for Semantic Engineers. Available at: https://semiceu.github.io/style-guide +- *[[ref:5]][cv-hb]* e-Government Core Vocabularies handbook. Available at: https://joinup.ec.europa.eu/sites/default/files/inline-files/ISA%20Handbook%20for%20using%20Core%20Vocabularies.pdf +- *[[ref:6]][sem--sg-cvs]* The SEMIC Style Guide for Semantic Engineers: What is a Core Vocabulary (CV) specification?. Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-cv-specification +- *[[ref:7]][dcmi]* DCMI Metadata Terms. Available at: https://www.dublincore.org/specifications/dublin-core/dcmi-terms/#section-1 +- *[[ref:8]][org]* The Organization Ontology. Available at: https://www.w3.org/TR/vocab-org/ +- *[[ref:9]][semic]* SEMIC Support Center. Available at: https://joinup.ec.europa.eu/collection/semic-support-centre/specifications +- *[[ref:10]][semic-gh]* Semantic Interoperability Community GitHub repository. Available at: https://github.com/SEMICeu +- *[[ref:11]][sem-sg-wio]* The SEMIC Style Guide for Semantic Engineers: What is an ontology? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-an-ontology +- *[[ref:12]][owl2]* Motik, B., Patel-Schneider, P. F., Parsia, B., Bock, C., Fokoue, A., Haase, P., …​ & Smith, M. (2009). OWL 2 web ontology language: Structural specification and functional-style syntax. W3C recommendation, 27(65), 159. Available at: http://www.w3.org/TR/2012/REC-owl2-syntax-20121211/ +- *[[ref:13]][sem-sg-wds]* The SEMIC Style Guide for Semantic Engineers: What is a data shape specification? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-data-shape-contraint +- *[[ref:14]][shacl]* Knublauch, H., & Kontokostas, D. (2017). Shapes Constraint Language (SHACL), W3C Recommendation. World Wide Web Consortium. Available at: https://www.w3.org/TR/shacl/ +- *[[ref:15]][sem-sg-wdsd]* The SEMIC Style Guide for Semantic Engineers: What is a data specification document? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-specification-document +- *[[ref:16]][respec]* ReSpec Documentation. Available at: https://respec.org/docs/ +- *[[ref:17]][w3c]* Sporny, M., Longley, D., Kellogg, G., Lanthaler, M., & Lindström, N. (2020). JSON-LD 1.1. W3C Recommendation, Jul. +- *[[ref:18]][json-ld]* The SEMIC Style Guide for Semantic Engineers: Technical artefacts and concerns. Available at: https://semiceu.github.io/style-guide/1.0.0/arhitectural-clarifications.html#sec:technical-concerns-and-artefacts +- *[[ref:19]][sem-sg-wcm]* The SEMIC Style Guide for Semantic Engineers: What is a conceptual model? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-conceptual-model +- *[[ref:20]][uml]* Unified Modeling Language. Available at: https://www.omg.org/spec/UML +- *[[ref:21]][cc-by]* CC-BY 4.0 licence. Available at: https://creativecommons.org/licenses/by/4.0/ +- *[[ref:22]][ec11a]* EC11a +- *[[ref:23]][cv-met]* D3.1 – PROCESS AND METHODOLOGY FOR CORE VOCABULARIES. Available at: https://joinup.ec.europa.eu/sites/default/files/document/2012-03/D3.1-Process%20and%20Methodology%20for%20Core%20Vocabularies_v1.01.pdf +- *[[ref:24]][sem-sg-reuse]* The SEMIC Style Guide for Semantic Engineers: Clarifications on "reuse". Available at: https://semiceu.github.io/style-guide/1.0.0/clarification-on-reuse.html +- *[[ref:25]][swagger]* Swagger OpenAPI Guide: Components Section. Available at: https://swagger.io/docs/specification/components/ +- *[[ref:26]][sem-sg-wsds]* The SEMIC Style Guide for Semantic Engineers: What is a semantic data specification? Available at: https://semiceu.github.io/style-guide/1.0.0/terminological-clarifications.html#sec:what-is-a-specification-document +- *[[ref:27]][dtx]* Diataxis. Available at: https://diataxis.fr/ +- *[[ref:28]][cpv]* Barthelemy, F. et al. Core Person vocabulary. Available at: https://semiceu.github.io/Core-Person-Vocabulary/releases/2.00 +- *[[ref:29]][cbv]* Barthelemy, F. et al. Core Business Vocabulary. Available at: https://semiceu.github.io/Core-Business-Vocabulary/releases/2.2.0/ +- *[[ref:30]][weuc]* According to the classification of A. Cockburn in “Writing Effective Use Cases” Cockburn99, pg 14-15 +- *[[ref:31]][oots]* OOTS XML schema mappings. Available at: https://ec.europa.eu/digital-building-blocks/sites/pages/viewpage.action?pageId=706382149 +- *[[ref:32]][cpv-json-ld]* Core Person Vocabulary - JSON-LD. Available at: https://github.com/SEMICeu/Core-Person-Vocabulary/blob/master/releases/2.1.1/context/core-person-ap.jsonld +- *[[ref:33]][cbv-json-ld]* Core Business Vocabulary - JSON-LD. Available at: https://github.com/SEMICeu/Core-Business-Vocabulary/blob/master/releases/2.2.0/context/core-business-ap.jsonld +- *[[ref:34]][map-cp2org]* Mapping Core Person to Schema.org. Available at: https://github.com/SEMICeu/Semantic-Mappings/tree/main/Core%20Person/Schema.org +- *[[ref:35]][map-cb2org]* Mapping Core Business to Schema.org. Available at: https://github.com/SEMICeu/Semantic-Mappings/tree/main/Core%20Business/Schema.org -. [[ref:344]] eProcurement Ontology. Available at: \ No newline at end of file +- *[[ref:344]][epo]* eProcurement Ontology. Available at: \ No newline at end of file diff --git a/docs/modules/ROOT/pages/semic-core-vocabularies.adoc b/docs/modules/ROOT/pages/semic-core-vocabularies.adoc index cbb4364..e82ef21 100644 --- a/docs/modules/ROOT/pages/semic-core-vocabularies.adoc +++ b/docs/modules/ROOT/pages/semic-core-vocabularies.adoc @@ -4,7 +4,7 @@ This section contains a brief overview of the Core Vocabularies, indicating how Since 2011 the European Commission facilitates international working groups to forge consensus and maintain the SEMIC Core Vocabularies. A short description of these vocabularies is included in the Table [below]. The latest release of the Core Vocabularies can be -retrieved via the SEMIC Support Center[[ref:9]], or directly in the GitHub repository[[ref:10]]. +retrieved via the SEMIC Support Center[[ref:9]][semic], or directly in the GitHub repository[[ref:10]][semic-gh]. |=== |Vocabulary|Description @@ -81,20 +81,20 @@ and processing information related to public events. === Representation formats The Core Vocabularies are semantic data specifications that are disseminated as the following artefacts: -* lightweight ontology [[ref:11]] for vocabulary definition expressed in OWL[[ref:12]], -* loose data shape specification [[ref:13]] expressed in SHACL[[ref:14]], -* human-readable reference documentation [[ref:15]] in HTML (based on ReSpec[[ref:16]]), -* JSON-LD [[ref:17]] context definitions[[ref:18]], -* conceptual model specification [[ref:19]] expressed in UML[[ref20]]. +* lightweight ontology [[ref:11]][sem-sg-wio] for vocabulary definition expressed in OWL[[ref:12]][owl2], +* loose data shape specification [[ref:13]][sem-sg-wds] expressed in SHACL[[ref:14]][shacl], +* human-readable reference documentation [[ref:15]][sem-sg-wdsd] in HTML (based on ReSpec[[ref:16]][respec]), +* JSON-LD [[ref:17]][w3c] context definitions[[ref:18]][json-ld], +* conceptual model specification [[ref:19]][sem-sg-wcm] expressed in UML[[ref20]]. [[sec:licensing-conditions]] === Licensing conditions -The Core Vocabularies are published under the CC-BY 4.0 licence [[ref:21]]. +The Core Vocabularies are published under the CC-BY 4.0 licence [[ref:21]][cc-by]. [[sec:core-vocabularies-lifecycle]] === Core Vocabularies lifecycle -The Core Vocabularies have been developed following the ‘Process and methodology for developing Core Vocabularies’ [[ref:22]]. -The Core Vocabularies have an open change and release management process [[ref:23]], supported by SEMIC, that ensures continuous +The Core Vocabularies have been developed following the ‘Process and methodology for developing Core Vocabularies’ [[ref:22]][ec11a]. +The Core Vocabularies have an open change and release management process [[ref:23]][cv-met], supported by SEMIC, that ensures continuous improvement and relevance to evolving user needs. This process begins with the identification of needs from stakeholders or issues raised in existing implementations. The Working Group @@ -115,8 +115,8 @@ public services. [[sec:claiming-conformance]] === Claiming conformance Claiming conformance to Core Vocabularies is an integral part of validating (a) how well a new or a mapped data model or -semantic data specification aligns with the principles and practices established in the SEMIC Style Guide [[ref:4]] and (b) to -what degree the Core Vocabularies are reused (fully or partially) [[ref:24]]. The conformance assessment is voluntary, and shall +semantic data specification aligns with the principles and practices established in the SEMIC Style Guide [[ref:4]][sem-sg] and (b) to +what degree the Core Vocabularies are reused (fully or partially) [[ref:24]][sem-sg-reuse]. The conformance assessment is voluntary, and shall be published as a self-conformance statement. This statement must assert which requirements are met by the data model or semantic specification. diff --git a/docs/modules/ROOT/pages/use-cases.adoc b/docs/modules/ROOT/pages/use-cases.adoc index 75f7c0b..9203dd9 100644 --- a/docs/modules/ROOT/pages/use-cases.adoc +++ b/docs/modules/ROOT/pages/use-cases.adoc @@ -34,7 +34,7 @@ Table: Listing of addressed use cases |=== Table: Listing of unaddressed use cases -The use cases provided in this handbook are written in white-box point of style oriented towards user goals[[ref:30]]. +The use cases provided in this handbook are written in white-box point of style oriented towards user goals[[ref:30]][weuc]. We will use the following template to describe the relevant use cases that were listed above: @@ -84,7 +84,7 @@ We will use the following template to describe the relevant use cases that were |*Description:* The goal is to design and create a new XSD schema that is not part of a more comprehensive semantic data specification, relying on terms from existing CVs as much as possible. As an information exchange data model, an XSD Schema can be used to create and validate XML data to be exchanged between information systems. -|*Example:* OOTS XML schema mappings [[ref:31]] +|*Example:* OOTS XML schema mappings [[ref:31]][oots] |*Note:* A detailed methodology to be applied for this use case will be provided in the xref:how-to-create-new-data-models.adoc#sec:create-a-new-xsd-schema[Create a new XSD schema] |=== @@ -100,7 +100,7 @@ We will use the following template to describe the relevant use cases that were |*Description:* The goal is to design and create a new JSON-LD context definition that is not part of a more comprehensive semantic data specification, relying on terms from existing CVs as much as possible. As an information exchange data model, a JSON-LD context definition can be integrated in describing data, building APIs, and other operations involved in information exchange. -|*Example:* Core Person Vocabulary [[ref:32]], Core Business Vocabulary [[ref:33]] +|*Example:* Core Person Vocabulary [[ref:32]][cpv-json-ld], Core Business Vocabulary [[ref:33]][cbv-json-ld] |*Note:* A detailed methodology to be applied for use cases will be provided in the xref:how-to-create-new-data-models.adoc#sec:create-a-new-json-ld-context-definition[Create a new JSON-LD context definition] section. |=== @@ -134,7 +134,7 @@ We will use the following template to describe the relevant use cases that were |*Description:* The goal is to create a formal mapping expressed in Semantic Web terminology (for example using +rdfs:subClassOf, rdfs:subPropertyOf+, +owl:equivalentClass+, +owl:equivalentProperty, owl:sameAs+ properties), associating the terms in an existing ontology that defines relevant concepts in a given domain, to terms defined in one or more CVs. This activity is usually performed by a semantic engineer based on input received from domain experts and/or business analysts, who can assist with the creation of a conceptual mapping. The conceptual mapping associates the terms in an existing ontology, which defines relevant concepts within a specific domain, to terms defined in one or more SEMIC Core Vocabularies. The result of the formal mapping can be used later by software engineers to build information exchange systems. -*Example:* Mapping Core Person to Schema.org[[ref:34]], Core Business to Schema.org[[ref:35]], etc. +*Example:* Mapping Core Person to Schema.org[[ref:34]][map-cp2org], Core Business to Schema.org[[ref:35]][map-cb2org], etc. |*Note:* A detailed methodology to be applied for this use case will be provided in the https://docs.google.com/document/d/1MUhPUq-6ByTreuY1S81sIUSxsPib5ameHxkfNiBRTb4/edit#heading=h.rebab4rmrvo9[Formal ontology mapping to Core Vocabularies Under review] section. |===