DocumentCode :
3078523
Title :
Sub-ontology modularization for large-scale web ontologies
Author :
Mao, Yuxin ; Wei, Guiyi
Author_Institution :
Sch. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
fYear :
2009
fDate :
10-12 Aug. 2009
Firstpage :
145
Lastpage :
150
Abstract :
In this paper, we propose a modularized approach for ontology reuse and sharing. In particular, we refer to the context-specific modules from large-scale ontologies as sub-ontologies. We combine the caching mechanism with ontology reuse to form sub-ontology cache. Semantic-based systems are able to take sub-ontology cache as their local knowledge-bases to support semantic-based activities. We also deal with the optimization problem for sub-ontology cache. We propose to optimize the sub-ontologies in a cache with a semantic-based genetic algorithm. Besides, we evaluate the approach with a large-scale traditional Chinese medicine domain ontology to obtain promising results.
Keywords :
cache storage; genetic algorithms; knowledge based systems; ontologies (artificial intelligence); semantic Web; caching mechanism; context-specific module; genetic algorithm; large-scale Web ontology; local knowledge-base; ontology reuse; ontology sharing; optimization; semantic-based system; subontology modularization; traditional Chinese medicine domain ontology; Genetic algorithms; Knowledge representation; Large-scale systems; Logic; Ontologies; Semantic Web; Spine; Terminology; Unified modeling language; Vocabulary; Modularization; Ontology; Ontology Reuse; Semantic Web; Sub-Ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Reuse & Integration, 2009. IRI '09. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-4114-3
Electronic_ISBN :
978-1-4244-4116-7
Type :
conf
DOI :
10.1109/IRI.2009.5211541
Filename :
5211541
Link To Document :
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