DocumentCode :
1867953
Title :
Google based hybrid approach for discovering services
Author :
Sharma, Shailja ; Lather, Jagdeep Singh ; Dave, Mayank
Author_Institution :
Dept. of Comput. Applic., Nat. Inst. of Technol., Kurukshetra, India
fYear :
2015
fDate :
7-9 Feb. 2015
Firstpage :
498
Lastpage :
502
Abstract :
The Current description standards for Web Services such as WSDL and UDDI have a significant drawback of being restricted to the syntactic aspects of service. A service provider registers a service in the universal repository i.e. UDDI so that the service consumers can search and discover the required service that meets the user functional requirements from thousands of registered services. Matching the user request with all services in a particular category of the repository is a cumbersome task. Semantic approaches are required to further assist the user in discovering relevant services. In this paper, we have proposed a semantic approach that gives ranked list of services based on the web based relatedness score and helps the users in the selection of potentially relevant and semantically similar services within a category. The proposed approach has been implemented on 80 OWLS services and the results have shown that the approach gives ranked list of services with ease of the selection process for the user.
Keywords :
Web services; knowledge representation languages; semantic Web; Google based hybrid approach; OWLS services; UDDI; WSDL; Web based relatedness score; Web services; service discovery; Automobiles; Information filters; Kernel; MATLAB; Semantics; Machine learning; Normalized Google Distance; OWLS; Semantic Web Service Discovery; Text Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2015 IEEE International Conference on
Conference_Location :
Anaheim, CA
Type :
conf
DOI :
10.1109/ICOSC.2015.7050859
Filename :
7050859
Link To Document :
بازگشت