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Semantic oriented knowledge processing model

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成果类型:
期刊论文、会议论文
作者:
Lin Zhang
通讯作者:
Zhang, L.(zhl_wh@sina.com)
作者机构:
[Zhang L.] School of Mathematic and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China
通讯机构:
[Zhang, L.] S
School of Mathematic and Computer Science, , Wuhan, 430023, China
语种:
英文
关键词:
Knowledge;Ontology;Processing model
期刊:
Advanced Materials Research
ISSN:
1022-6680
年:
2013
卷:
756-759
页码:
1758-1762
ISBN:
9783037857700
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
The objective of knowledge processing system is to promote knowledge integration, sharing and retrieval in distributed and heterogeneous environment. This paper puts forward a semantic oriented intelligent processing model-SOKPM 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 autonomous knowledge sources as well as for retrieving those sources. In SOKPM, an up-bottom knowledge integration approach with a semantic transformation adapter framework is proposed to s...

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