title: Matching arthropod anatomy ontologies to the Hymenoptera Anatomy Ontology: results from a manual alignment.
abstract: Matching is an important step for increasing interoperability between heterogeneous ontologies. Here, we present alignments we produced as domain experts, using a manual mapping process, between the Hymenoptera Anatomy Ontology and other existing arthropod anatomy ontologies (representing spiders, ticks, mosquitoes and Drosophila melanogaster). The resulting alignments contain from 43 to 368 mappings (correspondences), all derived from domain-expert input. Despite the many pairwise correspondences, only 11 correspondences were found in common between all ontologies, suggesting either major intrinsic differences between each ontology or gaps in representing each group's anatomy. Furthermore, we compare our findings with putative correspondences from Bioportal (derived from LOOM software) and summarize the results in a total evidence alignment. We briefly discuss characteristics of the ontologies and issues with the matching process.
authors.affiliation: Department of Entomology, North Carolina State University, Raleigh, NC 27695-7613, USA. matthew.bertone@gmail.com
authors.forename: Matthew A
authors.initials: MA
authors.lastname: Bertone
authors.forename: István
authors.initials: I
authors.lastname: Mikó
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Yoder
authors.forename: Katja C
authors.initials: KC
authors.lastname: Seltmann
authors.forename: James P
authors.initials: JP
authors.lastname: Balhoff
authors.forename: Andrew R
authors.initials: AR
authors.lastname: Deans
mesh_terms: D000465:Algorithms; D000818:Animals; D057225:Data Mining; D006927:Hymenoptera / Q000033:anatomy & histology*