DocumentCode
466221
Title
A Semantic Based Software Architecture for Power Market Information Integration
Author
Huang, Garng M. ; Lei, Jiansheng
Author_Institution
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
fYear
2007
fDate
24-28 June 2007
Firstpage
1
Lastpage
8
Abstract
Information integration has become a critical challenge during power deregulation due to many significant issues such as how to efficiently manage and incorporate the information sources that are independently distributed nationwide and how to make the information integration system more reusable, flexible and adaptive to changing market rules. To meet the above challenges, a new software architecture is proposed based on the concept of semantic ontology, where information sources are integrated into a semantic knowledge warehouse (SKW). A semantic reasoning software component (SRSC) is developed accordingly to automatically deduct new information from SKW. Such a software architecture is very suitable for the information integration in power market. Furthermore, the concept of deduction credibility is proposed to further refine the reasoning process in SRSC.
Keywords
ontologies (artificial intelligence); power markets; semantic networks; software architecture; distributed nationwide; power deregulation; power market information integration; semantic based software architecture; semantic knowledge warehouse; semantic ontology; semantic reasoning software component; Application software; Computer integrated manufacturing; Energy management; Medical services; Ontologies; Power markets; Power system management; Power systems; Software architecture; Software performance; Deduction Credibility; Information Integration; Power Market; Semantic Knowledge Warehouse; Semantic Reasoning Software Component;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location
Tampa, FL
ISSN
1932-5517
Print_ISBN
1-4244-1296-X
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2007.385799
Filename
4275565
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