The Community for Technology Leaders
2014 47th Hawaii International Conference on System Sciences (2007)
Big Island, Hawaii
Jan. 3, 2007 to Jan. 6, 2007
ISSN: 1530-1605
ISBN: 0-7695-2755-8
pp: 196c
Jordi Conesa Caralt , Technical University of Catalonia
Jong Woo Kim , Georgia State University, USA
Julia K. Hilliard , Georgia State University, USA
The explosive growth of biomedical data makes researchers and professionals recognize the need of developing large ontologies. However as the size of data increases and knowledge evolves, ontologies tend to grow big and large, and hence, retrieving manageable amount of information from large ontologies becomes a difficult and costly task. <p>The purpose of this paper is to find and apply pruning methods from ontology engineering field to bio-ontologies as well as evaluate the results. These methods support systematic identification of relevant concepts and deletion of irrelevant part of an ontology. The paper shows how different pruning methods can be applied in bio-ontologies. To show the usefulness of pruning methods, a large bio-ontology called gene ontology is pruned to obtain a sub-ontology that contains only the relevant information a user is interested in.</p>
Jordi Conesa Caralt, Jong Woo Kim, Julia K. Hilliard, "Pruning Bio-Ontologies", 2014 47th Hawaii International Conference on System Sciences, vol. 00, no. , pp. 196c, 2007, doi:10.1109/HICSS.2007.455
102 ms
(Ver 3.3 (11022016))