DocumentCode :
2191007
Title :
ROAR: A Reference Ontology for Anatomical Relations
Author :
Coalter, Alton B. ; Leopold, Jennifer L.
Author_Institution :
Dept. of Comput. Sci., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
1
Lastpage :
8
Abstract :
The ontology has become a useful model for organizing knowledge. This is particularly true in the field of biomedicine, where individual ontologies have been created for specific data domains ranging from genomics through species morphologies to human anatomical reference ontologies. Although specific sets of relationships have been proposed to improve the accuracy and consistency of such ontologies, there has been little to nothing proposed concerning the organization of those relationships. To help address this deficiency, herein we present a Reference Ontology of Anatomical Relations (ROAR). ROAR extends the concepts used in existing biomedical ontologies by defining and hierarchically organizing temporal, spatial, functional, and taxonomic relations based on generalization/specialization and semantic relatedness. Also provided in this paper are examples of how the use of such a reference ontology would significantly increase the ease with which data from multiple ontologies could be developed and integrated and would improve the information base for other computational intelligence activities.
Keywords :
biology computing; genomics; ontologies (artificial intelligence); ROAR; anatomical reference ontologies; anatomical relations; biomedicine; genomics; species morphologies; Biological system modeling; Ontologies; Organizations; Organizing; Reliability; Semantics; Standards organizations; anatomy; biomedical ontologies; integrating ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9896-3
Type :
conf
DOI :
10.1109/CIBCB.2011.5948470
Filename :
5948470
Link To Document :
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