DocumentCode
475664
Title
Research on Semantic Business Platform for Electric Power System
Author
Jiagen, Sheng ; Sifeng, Liu
Volume
1
fYear
2008
fDate
3-4 Aug. 2008
Firstpage
567
Lastpage
570
Abstract
For electric power business decision, the open Web is an important resource of knowledge. Unfortunately, traditional methods of knowledge acquiring, representing and organizing can not satisfy the requirements of semantic to support intelligent decision. Arming to these, a semantic platform oriented business intelligence named SP4BI is proposed by this paper, then two key technologies, model of Web knowledge representation and automatic algorithm of ontology acquiring, are illustrated. Knowledge on the Web are time-related and context-related, these properties are all be considered in representation model of Web knowledge. Meanwhile, the experiments of automatic acquiring electric power ontology show the validity of extracting properties and relations of concepts. Compared with existing methods, SP4BI platform provides a semantic supporting, and is a fundamental of machine reading and automatic reasoning.
Keywords
Internet; competitive intelligence; ontologies (artificial intelligence); power engineering computing; SP4BI platform; Web knowledge representation; electric power system; ontology; open Web; semantic platform oriented business intelligence; Business communication; Data mining; Decision making; Energy management; Information analysis; Knowledge management; Power system management; Resource management; Semantic Web; Technology management; Business; Platform; semantic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3290-5
Type
conf
DOI
10.1109/CCCM.2008.357
Filename
4609575
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