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

Luke Slater, Miguel Angel Rodriguez-Garcia, Keiron O’Shea, Paul N. Schofield, Georgios V. Gkoutos, Robert Hoehndorf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science
PublisherSpringer Nature
Pages81-86
Number of pages6
ISBN (Print)9783319332444
DOIs
StatePublished - Apr 20 2016

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