NdFluents: An Ontology for Annotating Statements in Linked Data

Abstract : RDF provides the means to publish, link, and consume heterogeneous information on the Web of Data, whereas OWL allows the construction of ontologies and inference of new information that is implicit in the data. Annotating RDF data with additional information, such as provenance, trustworthiness, or temporal validity is becoming more and more important in recent times; however, it is possible to natively represent only binary (or dyadic) relations between entities in RDF and OWL. While there are some approaches to represent metadata on RDF, they lose most of the reasoning power of OWL. In this paper we present an extension of Welty and Fikes’ 4dFluents ontology—on associating temporal validity to statements—to any number of dimensions, provide guidelines and design patterns to implement it on actual data, and compare its reasoning power with alternative representations.
Type de document :
Communication dans un congrès
14th ESWC 2017 , May 2017, Portoroz, Slovenia. Springer International Publishing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 10249, pp.Pages 638-654, 〈10.1007/978-3-319-58068-5_39〉
Liste complète des métadonnées

https://hal-emse.ccsd.cnrs.fr/emse-01504641
Contributeur : Florent Breuil <>
Soumis le : lundi 10 avril 2017 - 14:12:29
Dernière modification le : jeudi 11 janvier 2018 - 06:20:36

Identifiants

Citation

José-M. Giménez-Garcıa, Antoine Zimmermann, Pierre Maret. NdFluents: An Ontology for Annotating Statements in Linked Data. 14th ESWC 2017 , May 2017, Portoroz, Slovenia. Springer International Publishing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 10249, pp.Pages 638-654, 〈10.1007/978-3-319-58068-5_39〉. 〈emse-01504641〉

Partager

Métriques

Consultations de la notice

185