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Article type: Research Article
Authors: Vacura, Miroslava; * | Svátek, Vojtěchb | Gangemi, Aldoc
Affiliations: [a] Department of Philosophy, University of Economics, Prague, W. Churchill Sq. 4, 130 67 Prague 3, Czech Republic. E-mail: [email protected] | [b] Department of Information and Knowledge Engineering, University of Economics, Prague, W. Churchill Sq. 4, 130 67 Prague 3, Czech Republic. E-mail: [email protected] | [c] Paris 13 University – CNRS UMR7030 – Sorbonne Paris Cité, France & STLab, ISTC-CNR, Via Nomentana 56, 00161 Rome, Italy. E-mail: [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Note: [] Accepted by: Guido Boella
Abstract: The research presented in this article is motivated by the increasing importance of complex human relations in linked data, either extracted from social networks, or found in existing databases. The FOAF vocabulary, targeted in our research, plays a central role in those data, and is a model for lightweight ontologies largely used in linked data, such as the DBpedia ontology and schema.org. We provide an overview of FOAF and other approaches for describing human relations, followed by a detailed analysis and critique of the FOAF Relationship Vocabulary, the most important FOAF extension. We propose an explicit formal axiomatization of this vocabulary, and an ontological analysis concerning the properties used to describe human relationships. We analyze the distribution of human relations based on their epistemological status, and define an ontoepistemic meta-property as characteristic of some of these predicates. Our analysis is generalizable to semantic modeling of social networks. Additionally, the modeling patterns used in other relevant linked data vocabularies are analyzed for comparison.
Keywords: Ontology, FOAF, human relations, linked data
DOI: 10.3233/AO-160169
Journal: Applied Ontology, vol. 11, no. 3, pp. 227-254, 2016
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