DocumentCode
3139845
Title
Building the Semantic Relations-Based Web Services Registry through Services Mining
Author
Chen, Shizhan ; Feng, Zhiyong ; Wang, Hui ; Wang, Tao
Author_Institution
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear
2009
fDate
1-3 June 2009
Firstpage
736
Lastpage
743
Abstract
Bridging the gap between service consumer and service provider, Web services registry (WSR) plays an important role in the Web services architecture. But the main obstacle in front of service register is short of adequate knowledge. In this paper, we present an approach that combines social networking and semantic Web technology with WSR to facilitate the dynamic Web services composition (WSC) based on AI reasoning and planning approach. Firstly, we clarify the novel WSR, named services network (SN), and present its concepts and components. Secondly, we outline how to build SN through services mining and some of the issues that should be considered. Thirdly, we evaluate how this network style registry could facilitate automated WSC. Lastly, a short comprehensive overview of existing related works is also included.
Keywords
Web services; data mining; inference mechanisms; planning (artificial intelligence); semantic Web; social networking (online); software architecture; Web services architecture; Web services registry; artificial intelligent reasoning; dynamic Web services composition; network style registry; planning approach; semantic Web technology; semantic relations; services mining; services network; social networking; Artificial intelligence; Computer networks; Information science; Meteorological radar; Ontologies; Semantic Web; Service oriented architecture; Social network services; Tin; Web services; Services Mining; Services Network; Web services; Web services registry;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3641-5
Type
conf
DOI
10.1109/ICIS.2009.20
Filename
5222897
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