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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 98% of LOV and 97% of BioPortal ontologies.
Subjects

ontologies, axioms, LOV, BioPortal, montolo, modeling, RDF, statistics, sdmx, DataCube, Linked Data, Semantic Web

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