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A unified approach for debugging is-a structure and mappings in networked taxonomies
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
2013 (English)In: Journal of Biomedical Semantics, ISSN 2041-1480, E-ISSN 2041-1480, Vol. 4, 10Article in journal (Refereed) Published
Abstract [en]

Background

With the increased use of ontologies and ontology mappings in semantically-enabled applications such as ontology-based search and data integration, the issue of detecting and repairing defects in ontologies and ontology mappings has become increasingly important. These defects can lead to wrong or incomplete results for the applications.

Results

We propose a unified framework for debugging the is-a structure of and mappings between taxonomies, the most used kind of ontologies. We present theory and algorithms as well as an implemented system RepOSE, that supports a domain expert in detecting and repairing missing and wrong is-a relations and mappings. We also discuss two experiments performed by domain experts: an experiment on the Anatomy ontologies from the Ontology Alignment Evaluation Initiative, and a debugging session for the Swedish National Food Agency.

Conclusions

Semantically-enabled applications need high quality ontologies and ontology mappings. One key aspect is the detection and removal of defects in the ontologies and ontology mappings. Our system RepOSE provides an environment that supports domain experts to deal with this issue. We have shown the usefulness of the approach in two experiments by detecting and repairing circa 200 and 30 defects, respectively.

Place, publisher, year, edition, pages
BioMed Central, 2013. Vol. 4, 10
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-91442DOI: 10.1186/2041-1480-4-10ISI: 000343704300003PubMedID: 23548155OAI: oai:DiVA.org:liu-91442DiVA: diva2:617910
Funder
Swedish e‐Science Research CenterSwedish Research Council, 2010-4759CUGS (National Graduate School in Computer Science)
Available from: 2013-04-24 Created: 2013-04-24 Last updated: 2017-12-06Bibliographically approved

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