title: A semi-automated approach for anatomical ontology mapping.
abstract: This paper presents a study in the domain of semi-automated and fully-automated ontology mapping. A process for inferring additional cross-ontology links within the domain of anatomical ontologies is presented and evaluated on pairs from three model organisms. The results of experiments performed with various external knowledge sources and scoring schemes are discussed.
authors.affiliation: Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski, 5 James Bourchier Blvd., 1164 Sofia, Bulgaria.
authors.forename: Peter
authors.initials: P
authors.lastname: Petrov
authors.forename: Milko
authors.initials: M
authors.lastname: Krachunov
authors.forename: Dimitar
authors.initials: D
authors.lastname: Vassilev
mesh_terms: D000465:Algorithms; D000715:Anatomy / Q000379:methods*; D000818:Animals; D001331:Automation; D051379:Mice; D014981:Xenopus / Q000033:anatomy & histology; D015027:Zebrafish / Q000033:anatomy & histology