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Issue title: The role of ontologies in Linked Data, Big Data and Semantic Web applications
Guest editors: Kenneth Baclawski and Mike Bennett
Article type: Research Article
Authors: Codescu, Mihaia | Kuksa, Eugenb | Kutz, Olivera | Mossakowski, Tillb; * | Neuhaus, Fabianb
Affiliations: [a] Free University of Bozen-Bolzano, Italy. E-mails: Mihai.Codescu@unibz.it, Oliver.Kutz@unibz.it | [b] Otto-von-Guericke University of Magdeburg, Germany. E-mails: kuksa@iks.cs.ovgu.de, till@iks.cs.ovgu.de, fneuhaus@iks.cs.ovgu.de
Correspondence: [*] Corresponding author. E-mail: till@iks.cs.ovgu.de.
Note: [] Accepted by: Mike Bennett
Abstract: Ontohub is a repository engine for managing distributed heterogeneous ontologies. The distributed nature enables communities to share and exchange their contributions easily. The heterogeneous nature makes it possible to integrate ontologies written in various ontology languages. Ontohub supports a wide range of formal logical and ontology languages, as well as various structuring and modularity constructs and inter-theory (concept) mappings, building on the Object Management Group’s Distributed Ontology, Model and Specification Language (DOL). Ontohub repositories are organised as Git repositories, thus inheriting all features of this popular version control system. Moreover, Ontohub is the first repository engine meeting a substantial amount of the requirements formulated in the context of the Open Ontology Repository (OOR) initiative, including an API for federation as well as support for logical inference and axiom selection.
Keywords: Ontology repository engine, Git, Linked Data, logical inference, heterogeneity
DOI: 10.3233/AO-170190
Journal: Applied Ontology, vol. 12, no. 3-4, pp. 275-298, 2017
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