DocumentCode :
2629685
Title :
To Maximize Web Service Retrieval
Author :
Kyong-Ha Lee ; Kyu-Chul Lee
Author_Institution :
Chungnam Nat. Univ., Gungdong
fYear :
2007
fDate :
21-23 Nov. 2007
Firstpage :
2318
Lastpage :
2325
Abstract :
Service discovery is the first crucial step to compose services for building a business process. Much effort, mainly classified into syntactic and semantic approaches, has been given to make the current Web service discovery more precise and efficient. Semantic approach for Web services utilizes predefined concepts and relationships among their concepts to promise intelligent discovery. However, we believe that current semantic approaches are not mature yet and they also should be on a syntactic foundation as well. Nevertheless, syntactic-based discovery still has limitation on their efficiency, e.g. a registry approach has limitation on their query capability and query scope. In addition, registry enhancements and other syntactic studies based on IR techniques also have problems to measure similarity among structured service descriptions. In this paper, we propose a method to maximize the efficiency of syntactic-based service discovery. Our approach is for developing an efficient information retrieval technique for Web services on an off-the-shelf DBMS. It also has a feature to rank service similarity with their distinctive properties, which have not been carefully considered so far.
Keywords :
Web services; data mining; database management systems; electronic commerce; query processing; Web service retrieval; business process; information retrieval; intelligent discovery; off-the-shelf DBMS; registry enhancements; service discovery; syntactic-based discovery; Distributed computing; Information retrieval; Information technology; Ontologies; Pattern matching; Process planning; Testing; Web pages; Web services; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence Information Technology, 2007. International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
0-7695-3038-9
Type :
conf
DOI :
10.1109/ICCIT.2007.303
Filename :
4420599
Link To Document :
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