Context-Sensitive Service Discovery Meets Information Retrieval

With the emergence of mobile devices, Web services are made available for users in nearly all situations of every day life. While the WWW offers a multitude of Web services there is a lack of search engines which support the users in finding adequate services out of the bulk of available Web services. Within this paper, we will introduce a context-sensitive approach for effective Web service discovery. As a huge amount of context information could be gathered by the use of mobile devices, this approach is especially directed towards users of these mobile devices. Examples for context information are the actual visited place, the actual temperature, the recent illumination, etc. Also communities of users who share common contexts, interests and service needs arise. While existing systems for Web service discovery generally do not consider context and community information of their users, we will focus on these topics, taking advantage of an novel adaption of information retrieval techniques

[1]  Jun Zhang,et al.  Simlarity Search for Web Services , 2004, VLDB.

[2]  Stephen E. Robertson,et al.  Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..

[3]  Stephen E. Robertson,et al.  Okapi at TREC-4 , 1995, TREC.

[4]  Nikos Loutas,et al.  A System Architecture for Context-Aware Service Discovery , 2005, CWS@CONTEXT.

[5]  Stephen E. Robertson,et al.  Okapi at TREC-3 , 1994, TREC.

[6]  Towards an Infrastructure for Context-Sensitive Intelligence , 2006 .

[7]  Subbarao Kambhampati,et al.  A snapshot of public web services , 2005, SGMD.

[8]  Abdelsalam Helal,et al.  Context attributes: an approach to enable context-awareness for service discovery , 2003, 2003 Symposium on Applications and the Internet, 2003. Proceedings..

[9]  Armin B. Cremers,et al.  Towards Context-Sensitive Intelligence , 2005, EWSA.

[10]  Natallia Kokash Web service discovery with implicit QoS filtering , 2005 .

[11]  Nicholas Kushmerick,et al.  ASSAM: A Tool for Semi-automatically Annotating Semantic Web Services , 2004, SEMWEB.

[12]  Béat Hirsbrunner,et al.  Towards a Context-Based Service Composition Framework , 2003, ICWS.

[13]  Ulf Leser,et al.  Adapters, shims, and glue - service interoperability for in silico experiments , 2006, Bioinform..

[14]  David C. Lee,et al.  TACE/ADAM17 Processing of EGFR Ligands Indicates a Role as a Physiological Convertase , 2003, Annals of the New York Academy of Sciences.

[15]  Hanan Lutfiyya,et al.  Context-aware service selection based on dynamic and static service attributes , 2005, WiMob'2005), IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005..