research data . Dataset . 2019

MontoloStats

Lieber, Sven;
Open Access English
  • Published: 19 Jul 2019
  • Publisher: Zenodo
Abstract
MontoloStats is a dataset containing RDF DataCube-based statistics of Montolo concepts described using the W3C RDF DataCube and PROV-based MontoloVoc vocabulary Ontologies which are built with the RDF framework consist of concepts and relationship between these concepts. Additionally several restrictions in the form of axioms can be defined, using terms of the RDFS and OWL vocabulary. To understand how current ontologies are modeled we created Montolo. MontoloVoc is an OWL and RDFS-based vocabulary initially describing concepts regarding restrictions, and it is RDF Data Cube-based so that statistics regarding restrictions can be described. The restriction concepts entail abstract Restriction Types, such as disjoint classes or reflexive properties, and different restriction type Expressions for each type, e.g. owl:disjointWith or owl:AllDisjointClasses for the restriction type disjoint classes. Information regarding the use of restriction types are published as MontoloStats dataset, described using the MontoloVoc vocabulary and currently covering 660 LOV and 565 BioPortal ontologies.
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Subjects
free text keywords: ontologies, axioms, LOV, BioPortal, montolo, modeling, RDF, statistics, sdmx, DataCube, Linked Data, Semantic Web
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Open Access
ZENODO
Dataset . 2019
Providers: ZENODO
2 research outcomes, page 1 of 1
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