DocumentCode :
2124870
Title :
Ontology Based Knowledge Processing Model
Author :
Zhang, Lin
Author_Institution :
Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
211
Lastpage :
215
Abstract :
The objective of knowledge processing system is to promote knowledge integration, sharing and retrieval in distributed and heterogeneous environment. This paper puts forward an ontology-based model-OBKPM for knowledge processing, which promises better access to relevant knowledge by producing a global domain ontology that is used for establishing semantic connections among the local ontologies of autonomous knowledge sources as well as for retrieving those sources. In OBKPM, a bottom-up integration approach with two-stage mapping process is proposed to solve both the semantic heterogeneities and the query answering problems. In this approach, local ontologies and the global ontology are all treated in graph-based representation, and the overall integration and access process will be briefly illustrated through examples.
Keywords :
graph theory; ontologies (artificial intelligence); query processing; autonomous knowledge sources; graph-based representation; knowledge integration; knowledge retrieval; knowledge sharing; ontology based knowledge processing model; query answering problem; Design methodology; Distributed computing; File servers; Information retrieval; Knowledge acquisition; Knowledge engineering; Object oriented modeling; Ontologies; Surface-mount technology; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3488-6
Type :
conf
DOI :
10.1109/KAM.2008.135
Filename :
4732817
Link To Document :
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