Title :
A Social Label Automatic Tagging Based Method on Situation Semantics in Web Service Discovery
Author :
Li Sheng ; Hu Jing
Author_Institution :
Sch. of Inf. & Safety Eng., Zhongnan Univ. of Econ. & Law, Wuhan, China
Abstract :
The traditional approach to describe web services using ontology is a departure from the perspective of web service provider which can not ensure high precision and recall ratios, that is the consistency of the service designing intent and the service using intent, the conformance of the excepted using environment and the actual using environment, and the possibility of being detected by potential users. In this paper, a social label automatic tagging based method on situation semantics in web service discovery is proposed, which takes into account both semantic web technology and user situation semantics.
Keywords :
Web services; information retrieval; ontologies (artificial intelligence); semantic Web; Web service discovery; ontology; semantic Web technology; service designing intent; situation semantics; social label automatic tagging based method; user situation semantics; Context; Educational institutions; Engines; Ontologies; Semantics; Tagging; Web services; service discovery; situation semantics; social tagging; web service;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2012 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2943-9
DOI :
10.1109/ICMeCG.2012.71