Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1935

 Title: An Algorithmic Approach to Inferring Cross-Ontology Links while Mapping Anatomical Ontologies Authors: Petrov, PeterKrachounov, Milkovan Ophuizen, ErnestVassilev, Dimitar Keywords: OntologyAnatomical OntologyOntology MappingAnatomical Ontology MappingProbabilityScoringExternal Knowledge SourceAlgorithmGraphDirected Acyclic Graph Issue Date: 2012 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 6, No 3, (2012), 309p-332p Abstract: Automated and semi-automated mapping and the subsequently merging of two (or more) anatomical ontologies can be achieved by (at least) two direct procedures. The first concerns syntactic matching between the terms of the two ontologies; in this paper, we call this direct matching (DM). It relies on identities between the terms of the two input ontologies in order to establish cross-ontology links between them. The second involves consulting one or more external knowledge sources and utilizing the information available in them, thus providing additional information as to how terms (concepts) from the two input ontologies are related/linked to each other. Each of the two ontologies is aligned to an external knowledge source and links representing synonymy, is-a parent-child, and part-of parent-child relations, are drawn between the ontology and the knowledge source. These links are then run through a set of simple logical rules in order to come up with cross-ontology links between the two input ontologies. This method is known as semantic matching. It proves useful Description: ACM Computing Classification System (1998): J.3. URI: http://hdl.handle.net/10525/1935 ISSN: 1312-6555 Appears in Collections: Volume 6 Number 3

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