Valentina Ivanova
Department of Computer and Information Science, and Swedish e-Science Researche Centre, Linköping University, Linköping, Sweden
Jonas Laurila Bergman
Division of Information Technology, National Food Agency, Uppsala, Sweden
Ulf Hammerling
Department of Risk Benefit Assessment, National Food Agency, Uppsala, Sweden
Patrick Lambrix
Department of Computer and Information Science, and Swedish e-Science Researche Centre, Linköping University, Linköping, Sweden
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Published in: Proceedings of the First International Workshop on Debugging Ontologies and Ontology Mappings - WoDOOM12; Galway; Ireland; October 8; 2012
Linköping Electronic Conference Proceedings 79:3, p. 25-36
Published: 2012-11-28
ISBN:
ISSN: 1650-3686 (print), 1650-3740 (online)
As part of an initiative to facilitate adequate identification and display of substance-associated health effects a toxicological ontology - ToxOntology - was created. Further; an alignent with MeSH was accomplished to obtain an indirect index to the scientific literature.
To arrive at satisfactory results in the semantically-enabled applications; highquality ontologies and alignments are both necessary. A key step towards high quality in this area is debugging the ontologies and their alignments. In this paper we present an experience report on the debugging of ToxOntology and MeSH as well as an alignment.
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