Document Type
Journal Article
Department/Unit
Department of Computer Science
Title
Dynamic sub-ontology evolution for traditional Chinese medicine web ontology
Language
English
Abstract
As a form of important domain knowledge, large-scale ontologies play a critical role in building a large variety of knowledge-based systems. To overcome the problem of semantic heterogeneity and encode domain knowledge in reusable format, a large-scale and well-defined ontology is also required in the traditional Chinese medicine discipline. We argue that to meet the on-demand and scalability requirement ontology-based systems should go beyond the use of static ontology and be able to self-evolve and specialize for the domain knowledge they possess. In particular, we refer to the context-specific portions from large-scale ontologies like the traditional Chinese medicine ontology as sub-ontologies. Ontology-based systems are able to reuse sub-ontologies in local repository called ontology cache. In order to improve the overall performance of ontology cache, we propose to evolve sub-ontologies in ontology cache to optimize the knowledge structure of sub-ontologies. Moreover, we present the sub-ontology evolution approach based on a genetic algorithm for reusing large-scale ontologies. We evaluate the proposed evolution approach with the traditional Chinese medicine ontology and obtain promising results.
Keywords
Ontology, Traditional Chinese medicine, Sub-ontology, Knowledge, Evolutionary computation
Publication Date
10-2008
Source Publication Title
Journal of Biomedical Informatics
Volume
41
Issue
5
Start Page
790
End Page
805
Publisher
Elsevier
Peer Reviewed
1
Funder
This work is partially supported by subprogram of China 973 Project (No. 2003CB317006), National Science Fund for Distinguished Young Scholars of China NSF Program (No. NSFC60533040), National Key Technology R&D Program (No. 2006BAH02A01), a NSFC program under Grant No. NSFC60503018, and also a grant from ChinaGrid (CNGI-04-15-7A).
DOI
10.1016/j.jbi.2008.05.008
Link to Publisher's Edition
http://dx.doi.org/10.1016/j.jbi.2008.05.008
ISSN (print)
15320464
ISSN (electronic)
15320480
Recommended Citation
Mao, Yuxin, Zhaohui Wu, Wenya Tian, Xiaohong Jiang, and William K. Cheung. "Dynamic sub-ontology evolution for traditional Chinese medicine web ontology." Journal of Biomedical Informatics 41.5 (2008): 790-805.