A Web Service Discovery Method Based on Tag

With the growth of web service, traditional web service discovery mechanisms have become inefficient because of their low precision. Though the current semantic-based service discovery methods enhance the recall rate and precision in a way, most of the semantic-based service discovery methods are based on the new model of the semantic web and the ontology language, the number of the services based on the model of the semantic web and the ontology language is so little that these methods can not been used effectively. In this paper, we bring forward a new service discovery method based on the service tags. In order to discover service based on the services tags, we bring forward the algorithm QEBT and QPBT. Our experimental study shows that the algorithm QPBT is better than QEBT. Furthermore, both QEBT and QPBT are effective on discovering service.

[1]  Omer F. Rana,et al.  Reputation-based semantic service discovery: Research Articles , 2006 .

[2]  Luc Steels,et al.  Integrating Collaborative Tagging and Emergent Semantics for Image Retrieval , 2006 .

[3]  Dieter Fensel,et al.  Partner and service discovery for collaboration establishment with semantic Web services , 2005, IEEE International Conference on Web Services (ICWS'05).

[4]  Lawrence Birnbaum,et al.  TagAssist: Automatic Tag Suggestion for Blog Posts , 2007, ICWSM.

[5]  Tiffany Smith Cataloging and You: Measuring the Efficacy of a Folksonomy for Subject Analysis , 2007 .

[6]  Antonio Brogi,et al.  Composition-Oriented Service Discovery , 2005, SC@ETAPS.

[7]  Takahiro Kawamura,et al.  Semantic Matching of Web Services Capabilities , 2002, SEMWEB.

[8]  Patrick Martin,et al.  Reputation-Enhanced QoS-based Web Services Discovery , 2007, IEEE International Conference on Web Services (ICWS 2007).

[9]  Omer F. Rana,et al.  Reputation-Based Semantic Service Discovery , 2004, WETICE.

[10]  Marie-Francine Moens,et al.  Extraction of Folksonomies from Noisy Texts , 2007, ICWSM.

[11]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[12]  Peter Mika,et al.  Ontologies are us: A unified model of social networks and semantics , 2005, J. Web Semant..

[13]  Vittorio Loreto,et al.  Network properties of folksonomies , 2007, AI Commun..

[14]  John Riedl,et al.  tagging, communities, vocabulary, evolution , 2006, CSCW '06.

[15]  Omer F. Rana,et al.  Reputation-based semantic service discovery , 2004, 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[16]  Hui Wan,et al.  Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics , 2007, ICWSM.

[17]  Jianchang Mao,et al.  Towards the Semantic Web: Collaborative Tag Suggestions , 2006 .

[18]  Xia Wang,et al.  A QoS-Aware Selection Model for Semantic Web Services , 2006, ICSOC.