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