DocumentCode :
2966810
Title :
Semantic Web Services Composition Using AI Planning of Description Logics
Author :
Qiu, Lirong ; Lin, Fen ; Wan, Changlin ; Shi, Zhongzhi
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing
fYear :
2006
fDate :
Dec. 2006
Firstpage :
340
Lastpage :
347
Abstract :
Web services composition techniques are gaining momentum as the opportunity to establish reusable and versatile inter-operability applications. The purpose of semantic Web services is to use semantic specification to automate the discovery, invocation, and composition Web services. Description logics is the formalized foundation of semantic Web services and provides well-defined semantics. And many researchers propose their composition approach based on planning techniques. We propose our service composition methods based on description logics and AI planning technologies. Our algorithm for services composition uses backward-chaining search method to find potential candidate services. And we propose a DAG-based method to generate the planning process and filtering the inappropriate services during the DAG generation process. We test our approach on a simple, yet realistic example, and the preliminary results demonstrate that our implementation provides a practical solution
Keywords :
Web services; backward chaining; formal logic; open systems; planning (artificial intelligence); search problems; semantic Web; AI planning; DAG generation process; Web service composition; Web service discovery; Web service invocation; backward-chaining search; description logics; interoperability; semantic Web services composition; semantic specification; Artificial intelligence; Filtering; Humans; Logic; Ontologies; Process planning; Search methods; Semantic Web; Technology planning; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2006. APSCC '06. IEEE Asia-Pacific Conference on
Conference_Location :
Guangzhou, Guangdong
Print_ISBN :
0-7695-2751-5
Type :
conf
DOI :
10.1109/APSCC.2006.92
Filename :
4041256
Link To Document :
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