PERSONALIZED WEB SERVICE SELECTION

Web services have shown the potential to have a significant impact on the business, however, also shown problems like automatic service discovery or service interoperability issue. Because of today’s wide variety of services offered to perform a specific task, it is essential that users are guided in the eventual selection of appropriate services. In this paper we present an extensive study of different selection techniques towards advanced personalization of Web service selection. We propose the customization of the user profile to support different steps of interaction with services and propose techniques to personalize each subsequent step. Our main contribution is an algorithm featuring the expansion of service requests by user-defined demands and wishes. Services not matching a user specification are discarded on the fly and equally useful results of alternative services can be compared with respect to user provided preferences. We also present a case study to evaluate our personalization techniques.

[1]  Fabio Casati,et al.  Dynamic and adaptive composition of e-services , 2001, Inf. Syst..

[2]  Rodrigo Gonçalves,et al.  Approximate data instance matching: a survey , 2011, Knowledge and Information Systems.

[3]  Marc B. Vilain,et al.  Getting Serious about Parsing Plans : a Grammatical Analysis of Plan Recognition , 1990 .

[4]  Jerry R. Hobbs,et al.  DAML-S: Web Service Description for the Semantic Web , 2002, SEMWEB.

[5]  Hua Yang,et al.  CoBase: A scalable and extensible cooperative information system , 1996, Journal of Intelligent Information Systems.

[6]  Wolf-Tilo Balke,et al.  A ROADMAP TO ADVANCED PERSONALIZATION OF MOBILE SERVICES , 2002 .

[7]  I. Melzer.  Web Services Description Language , 2010 .

[8]  Sanjay K. Dwivedi,et al.  Ontology Description using OWL to Support Semantic Web Applications , 2011 .

[9]  Tran Cao Son,et al.  Semantic Web Services , 2001, IEEE Intell. Syst..

[10]  L. Arockiam,et al.  Reliability Evaluation Model for Composite Web services , 2010 .

[11]  Dieter Fensel,et al.  The Web Service Modeling Framework WSMF , 2002, Electron. Commer. Res. Appl..

[12]  S. Krishnan,et al.  2 XLANG : Web Services for Business Process Design , 2002 .

[13]  Luciano Baresi,et al.  Tutorial: towards dynamic web services , 2006, ICSE '06.

[14]  Wen Jin,et al.  The semantics and approximation for the skyline operator , 2007 .

[15]  Bhaskar Kapoor,et al.  A Comparative Study of Ontology building Tools in Semantic Web Applications , 2010 .

[16]  Ute Schmid,et al.  Inductive rule learning on the knowledge level , 2011, Cognitive Systems Research.

[17]  Tom M. Mitchell,et al.  Generalization as Search , 2002 .

[18]  Yao Peng,et al.  Knowledge acquisition and ontology modelling for construction of a control and monitoring expert system , 2002, Int. J. Syst. Sci..

[19]  Jack Minker,et al.  An Overview of Cooperative Answering in Databases , 1998, FQAS.

[20]  Paulo F. Pires,et al.  Building Reliable Web Services Compositions , 2002, Web, Web-Services, and Database Systems.

[21]  Sheila A. McIlraith,et al.  Simulation, verification and automated composition of web services , 2002, WWW.

[22]  Peter F. Patel-Schneider,et al.  Layering the Semantic Web: Problems and Directions , 2002, SEMWEB.

[23]  Pedro M. Domingos,et al.  Learning to map between ontologies on the semantic web , 2002, WWW '02.

[24]  Werner Kießling,et al.  Preference SQL - Design, Implementation, Experiences , 2002, VLDB.

[25]  Mohammed T. Al-Sudairy,et al.  SEMANTIC DATA INTEGRATION APPROACHES FOR E-GOVERNANCE , 2011 .