Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges

Autores
Ferreirone, Mariano Julián; Lezoche, Mario; Franciosi, Chiara; Panetto, Hervé; Torres, Diego
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Semantic web models such as ontologies and knowledge graphs were designed to represent knowledge explicitly and to infer implicit knowledge. This brings several benefits like flexibility and reasoning power. On the other hand, since the adoption of these models has been growing during the last years, the demand for consistency has risen in parallel. Therefore, the validation of these representations started to be an important issue for research. Several types of related works have been done; however, there is still a lack of an integrated review to understand the state of the art of formal semantic constraint validation. Addressing this issue is crucial for broader adoption of both the models discussed and the Semantic Web itself. For the community, it is important to review existing progress, outline future avenues, and examine related areas that can benefit from these developments. The contribution of this article includes a taxonomy of related research trends, a classification of selected works into these categories, and an overview of the main open challenges in validating semantic constraints for the Semantic Web. Each of these contributions was obtained through the conduction of a systematic literature review. In addition, an extension of the study is done to consider a very promising model which has a growing intersection with the field: property graphs. Finally, this paper concludes with an outlook that summarizes the contributions made and the challenges that the authors decided to continue researching in further steps.
Materia
Ciencias de la Computación e Información
Knowledge Representation
Semantic Constraints
RDF Validation
Ontology
Knowledge Graph
Shapes Graphs
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/12686

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network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challengesFerreirone, Mariano JuliánLezoche, MarioFranciosi, ChiaraPanetto, HervéTorres, DiegoCiencias de la Computación e InformaciónKnowledge RepresentationSemantic ConstraintsRDF ValidationOntologyKnowledge GraphShapes GraphsSemantic web models such as ontologies and knowledge graphs were designed to represent knowledge explicitly and to infer implicit knowledge. This brings several benefits like flexibility and reasoning power. On the other hand, since the adoption of these models has been growing during the last years, the demand for consistency has risen in parallel. Therefore, the validation of these representations started to be an important issue for research. Several types of related works have been done; however, there is still a lack of an integrated review to understand the state of the art of formal semantic constraint validation. Addressing this issue is crucial for broader adoption of both the models discussed and the Semantic Web itself. For the community, it is important to review existing progress, outline future avenues, and examine related areas that can benefit from these developments. The contribution of this article includes a taxonomy of related research trends, a classification of selected works into these categories, and an overview of the main open challenges in validating semantic constraints for the Semantic Web. Each of these contributions was obtained through the conduction of a systematic literature review. In addition, an extension of the study is done to consider a very promising model which has a growing intersection with the field: property graphs. Finally, this paper concludes with an outlook that summarizes the contributions made and the challenges that the authors decided to continue researching in further steps.2026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/12686enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.datak.2026.102604info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2026-04-16T09:44:58Zoai:digital.cic.gba.gob.ar:11746/12686Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412026-04-16 09:44:58.737CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges
title Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges
spellingShingle Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges
Ferreirone, Mariano Julián
Ciencias de la Computación e Información
Knowledge Representation
Semantic Constraints
RDF Validation
Ontology
Knowledge Graph
Shapes Graphs
title_short Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges
title_full Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges
title_fullStr Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges
title_full_unstemmed Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges
title_sort Semantic constraint validation in knowledge representation for the semantic web: A survey, taxonomy and research challenges
dc.creator.none.fl_str_mv Ferreirone, Mariano Julián
Lezoche, Mario
Franciosi, Chiara
Panetto, Hervé
Torres, Diego
author Ferreirone, Mariano Julián
author_facet Ferreirone, Mariano Julián
Lezoche, Mario
Franciosi, Chiara
Panetto, Hervé
Torres, Diego
author_role author
author2 Lezoche, Mario
Franciosi, Chiara
Panetto, Hervé
Torres, Diego
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
Knowledge Representation
Semantic Constraints
RDF Validation
Ontology
Knowledge Graph
Shapes Graphs
topic Ciencias de la Computación e Información
Knowledge Representation
Semantic Constraints
RDF Validation
Ontology
Knowledge Graph
Shapes Graphs
dc.description.none.fl_txt_mv Semantic web models such as ontologies and knowledge graphs were designed to represent knowledge explicitly and to infer implicit knowledge. This brings several benefits like flexibility and reasoning power. On the other hand, since the adoption of these models has been growing during the last years, the demand for consistency has risen in parallel. Therefore, the validation of these representations started to be an important issue for research. Several types of related works have been done; however, there is still a lack of an integrated review to understand the state of the art of formal semantic constraint validation. Addressing this issue is crucial for broader adoption of both the models discussed and the Semantic Web itself. For the community, it is important to review existing progress, outline future avenues, and examine related areas that can benefit from these developments. The contribution of this article includes a taxonomy of related research trends, a classification of selected works into these categories, and an overview of the main open challenges in validating semantic constraints for the Semantic Web. Each of these contributions was obtained through the conduction of a systematic literature review. In addition, an extension of the study is done to consider a very promising model which has a growing intersection with the field: property graphs. Finally, this paper concludes with an outlook that summarizes the contributions made and the challenges that the authors decided to continue researching in further steps.
description Semantic web models such as ontologies and knowledge graphs were designed to represent knowledge explicitly and to infer implicit knowledge. This brings several benefits like flexibility and reasoning power. On the other hand, since the adoption of these models has been growing during the last years, the demand for consistency has risen in parallel. Therefore, the validation of these representations started to be an important issue for research. Several types of related works have been done; however, there is still a lack of an integrated review to understand the state of the art of formal semantic constraint validation. Addressing this issue is crucial for broader adoption of both the models discussed and the Semantic Web itself. For the community, it is important to review existing progress, outline future avenues, and examine related areas that can benefit from these developments. The contribution of this article includes a taxonomy of related research trends, a classification of selected works into these categories, and an overview of the main open challenges in validating semantic constraints for the Semantic Web. Each of these contributions was obtained through the conduction of a systematic literature review. In addition, an extension of the study is done to consider a very promising model which has a growing intersection with the field: property graphs. Finally, this paper concludes with an outlook that summarizes the contributions made and the challenges that the authors decided to continue researching in further steps.
publishDate 2026
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info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
format article
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dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/12686
url https://digital.cic.gba.gob.ar/handle/11746/12686
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.datak.2026.102604
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dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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