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- publication author me.
- publication author me.
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- publication creator me.
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- publication creator me.
- publication about reuse.
- publication about Research.
- publication about Metadata.
- publication about RDF.
- publication author me.
- publication author me.
- publication author me.
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- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Document.
- publication type Document.
- publication type Q386724.
- publication type CreativeWork.
- publication type Work.
- publication P50 me.
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- publication title "MontoloStats – Ontology Modeling Statistics".
- publication isPartOf proceedings_of_the_10th_international_conference_on_knowledge_capture.
- publication name "MontoloStats – Ontology Modeling Statistics".
- publication label "MontoloStats – Ontology Modeling Statistics".
- publication name "MontoloStats – Ontology Modeling Statistics".
- publication topic reuse.
- publication topic Research.
- publication topic Metadata.
- publication topic RDF.
- publication subject reuse.
- publication subject Research.
- publication subject Metadata.
- publication subject RDF.
- publication authorList b0_b1927.
- publication topic reuse.
- publication topic Research.
- publication topic Metadata.
- publication topic RDF.
- publication abstract "Within ontology engineering, concepts are modeled as classes and relationships, and restrictions as axioms. Reusing ontologies requires assessing if existing ontologies are suited for an application scenario. Different scenarios not only influence concept modeling, but also the use of different restriction types, such as subclass relationships or disjointness between concepts. However, metadata about the use of such restriction types is currently unavailable, preventing accurate assessments for reuse. We created the RDF Data Cube-based dataset MontoloStats, which contains restriction use statistics for 660 LOV and 565 BioPortal ontologies.We analyze the dataset and discuss the findings and their implications for ontology reuse. The MontoloStats dataset reveals that 94% of LOV and 95% of BioPortal ontologies use RDFS-based restriction types, 49% of LOV and 52% of BioPortal ontologies use at least one OWL-based restriction type, and different literal value-related restriction types are not or barely used. Our dataset provides modeling insights, beneficial for ontology reuse to discover and compare reuse candidates, but can also be the basis of new research that investigates novel ontology engineering methodologies with respect to restrictions definition.".
- publication datePublished "2019".
- publication mainEntityOfPage lieber_kcap_2019.
- publication sameAs publication.
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- publication page lieber_kcap_2019.