DocumentCode :
2710289
Title :
Reasoning over ontologies of on demand service
Author :
Zhou, Yu ; Zhao, Qian ; Perry, Mark
Author_Institution :
Univ. of Western Ontario, London, Ont., Canada
fYear :
2005
fDate :
29 March-1 April 2005
Firstpage :
381
Lastpage :
384
Abstract :
At the heart of autonomic computing (AC) and on demand services (ODS), business rules play a vital role because they can help ´gluing´ managed resources, software components, and e-services together in accordance with business goals. Logic programming, the theoretic basis of rule engines, has gradually gained maturity in academia during past decades. From the practical point of view, however, existing rule engines are not useable enough in business applications, which in turn stalls further development of both logic programming and information technologies in industry. We need a straightforward way to utilize rules in a variety of domains. This paper presents a new paradigm in integrating rule engine technologies into on demand services and their management. We propose a Java semantic mapping schema and are implementing a dynamic knowledge-base builder based on well-defined ODS ontologies.
Keywords :
Java; inference mechanisms; knowledge based systems; logic programming; ontologies (artificial intelligence); semantic Web; Java semantic mapping schema; ODS ontologies; autonomic computing; business rules; dynamic knowledge-base builder; information technologies; logic programming; on demand services; rule engines; Application software; Engines; Heart; Instruments; Knowledge management; Licenses; Logic programming; Ontologies; Runtime; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Technology, e-Commerce and e-Service, 2005. EEE '05. Proceedings. The 2005 IEEE International Conference on
Print_ISBN :
0-7695-2274-2
Type :
conf
DOI :
10.1109/EEE.2005.112
Filename :
1402326
Link To Document :
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