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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, Peter
Krachounov, Milko
van Ophuizen, Ernest
Vassilev, Dimitar
Keywords: Ontology
Anatomical Ontology
Ontology Mapping
Anatomical Ontology Mapping
Probability
Scoring
External Knowledge Source
Algorithm
Graph
Directed 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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