Experiences with Aber-OWL, an Ontology Repository with OWL EL Reasoning

Ontologies are widely used in biology and biomedicine for the annotation and integration of data, and hundreds of ontologies have been developed for this purpose. These ontologies also constitute large volumes of formalized domain knowledge, usually expressed in the Web Ontology Language (OWL). Comp...

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Bibliographic Details
Published inOntology Engineering Vol. 9557; pp. 81 - 86
Main Authors Slater, Luke, Rodríguez-García, Miguel Ángel, O’Shea, Keiron, Schofield, Paul N., Gkoutos, Georgios V., Hoehndorf, Robert
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Biomedical ontology
Information retrieval
Literature search
Query expansion
Semantic indexing
Semantic web
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Summary:Ontologies are widely used in biology and biomedicine for the annotation and integration of data, and hundreds of ontologies have been developed for this purpose. These ontologies also constitute large volumes of formalized domain knowledge, usually expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within them relies on the use of automated reasoning. We have developed Aber-OWL, an ontology repository that provides OWL EL reasoning to answer queries and verify the consistency of ontologies. Aber-OWL also provides a set of web services which provide ontology-based access to scientific literature in Pubmed and Pubmed Central, SPARQL query expansion to retrieve linked data, and integration with Bio2RDF. Here, we report on our experiences with Aber-OWL and outline a roadmap for future development. Aber-OWL is freely available at http://aber-owl.net.
ISBN:3319332449
9783319332444
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-33245-1_8