A Multi-dimensional Social Tagging Method for Semantic Web Services

Author

Ning Da ; He Ke-qing ; Peng Rong ; Liu Jian-Xiao

Author_Institution

State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China

fYear

2011

fDate

4-9 July 2011

Firstpage

735

Lastpage

736

Abstract

Social tagging has become a popular solution for recognition and management of resources in web2.0 era. To solve the current problem of insufficient capacity of semantic description of web services, a multi-dimensional social tagging method for semantics of web services is proposed. Under the guidance of general social tagging model, users will annotate services manually from the domain the services attribute to, services theme and self reference, and simultaneously, the functional and nonfunctional properties of the services are automatically tagged, so that the semantic description coverage rate of web services will be enhanced, Moreover, a method of service semantics emerge automatically is proposed. Finally, experimental analysis will verify the feasibility and effectiveness of this method.

Keywords

Web services; information retrieval; semantic Web; service-oriented architecture; Web 2.0 era; multidimensional social tagging method; semantic Web services; semantic description coverage rate; service-oriented software development; Conferences; Feature extraction; Helium; Semantics; Software engineering; Tagging; Web services; semantic emergence; social tagging; tag filter; tag selection; web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Services Computing (SCC), 2011 IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

978-1-4577-0863-3

Electronic_ISBN

978-0-7695-4462-5

Type

conf

DOI

10.1109/SCC.2011.49

Filename

6009333