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An implicit approach for building communities of web service registries

Published: 05 December 2011 Publication History

Abstract

In a service oriented B2B context, companies aiming to cooperate and interact with others have to make their services available through private service registries. Since the number of registries can be as large as the number of companies, the resulting registry network has to be organized to assist and improve the service discovery process. In this paper, we propose to use communities as a means to organize Web services registries in such a context. First, we propose a semantic model for Web services registry description (WSRD). A WSRD description is a semantic model depicting the functionalities offered by services advertised by a given registry. Thereafter, we propose an implicit approach for building communities based on the registries WSRD descriptions using a fuzzy clustering technique. Eventually, this clustering will be helpful for selecting an adequate registry for service requesters. Provided experimental evaluations in this paper show that our approach is efficient in realistic situations.

References

[1]
E. Ayorak and A. B. Bener. Super peer web service discovery architecture. In Proceedings of the 23rd International Conference on Data Engineering, ICDE 2007, April 15--20, 2007, Istanbul, Turkey, pages 1360--1364. IEEE, 2007.
[2]
J. Bentahar, Z. Maamar, D. Benslimane, and P. Thiran. An argumentation framework for communities of web services. IEEE Intelligent Systems, 22(6):75--83, 2007.
[3]
O. Bouchaalaa, M. Sellami, W. Gaaloul, S. Tata, and M. Jmaiel. Graph-based management of communities of web service registries. In WEBIST 2011, Proceedings of the 7th International Conference on Web Information Systems and Technologies, Noordwijkerhout, The Netherlands, May 6--9, 2011. INSTICC Press, 2011.
[4]
Y. Chabeb and S. Tata. Yet another semantic annotation for wsdl (yasa4wsdl). In IADIS WWW/Internet 2008 Conference, pages 462--467, October 2008.
[5]
Y. Chabeb, S. Tata, and A. Ozanne. Yasa-m: A semantic web service matchmaker. In The IEEE 24rd International Conference on Advanced Information Networking and Applications, AINA 2010, April 20--23, Perth, Australia, 2010.
[6]
J. De Bruijn et al. Web service modeling ontology (wsmo). Technical report, 2005.
[7]
J. Dunn. A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters. Journal of Cybernetics, 3:32--57, 1973.
[8]
J. J. Jiang and D. W. Conrath. Semantic similarity based on corpus statistics and lexical taxonomy. The Computing Research Repository, CoRR, cmp-lg/9709008, 1997.
[9]
M. Jursic and N. Lavrac. Fuzzy clustering of documents. In Conference on Data Mining and Data Warehouses, SiKDD 2008, Ljubljana, Slovenia, 2008.
[10]
H. Lausen and J. Farrell. Semantic annotations for WSDL and XML schema. W3C recommendation, W3C, Aug. 2007. http://www.w3.org/TR/2007/REC-sawsdl-20070828/.
[11]
D. Lin. An information-theoretic definition of similarity. In The Fifteenth International Conference on Machine Learning (ICML), Madison, Wisconson, USA, July 24--27, pages 296--304, 1998.
[12]
D. Martin et al. Owl-s: Semantic markup for web services. Technical report, 2004.
[13]
S.-C. Oh, H. Kil, D. Lee, and S. R. T. Kumara. WSBen: A Web Services Discovery and Composition Benchmark. In 2006 IEEE International Conference on Web Services (ICWS 2006), 18--22 September 2006, Chicago, Illinois, USA, 2006.
[14]
T. Pilioura and A. Tsalgatidou. Unified publication and discovery of semantic web services. ACM Transactions on the Web (TWEB), 3(3), 2009.
[15]
G. Qian, S. Sural, Y. Gu, and S. Pramanik. Similarity between euclidean and cosine angle distance for nearest neighbor queries. In Proceedings of the 2004 ACM symposium on Applied computing, 2004.
[16]
S. Ratnasamy, P. Francis, M. Handley, R. M. Karp, and S. Shenker. A scalable content-addressable network. In SIGCOMM, pages 161--172, 2001.
[17]
P. Resnik. Using information content to evaluate semantic similarity in a taxonomy. In The International Joint Conference on AI, IJCAI, 20--25 August, Montreal, Canada, pages 448--453, 1995.
[18]
G. Salton and C. Buckley. Term weighting approaches in automatic text retrieval. Technical report, 1987.
[19]
G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Commun. ACM, 18(11):613--620, 1975.
[20]
R. Saraçoglu, K. Tutuncu, and N. Allahverdi. A fuzzy clustering approach for finding similar documents using a novel similarity measure. Expert Systems with Applications, 33(3):600--605, 2007.
[21]
M. Sellami, O. Bouchaala, W. Gaaloul, and S. Tata. WSRD: A Web Services Registry Description. In The 10th international conference on New Technologies of Distributed Systems, NOTERE 2010, May 31- June 2, Tozeur, Tunisia, pages 89--96, 2010.
[22]
M. Sellami, W. Gaaloul, S. Tata, and M. Jmaiel. Using recommendation to limit search space in web services discovery. In 24th IEEE International Conference on Advanced Information Networking and Applications, AINA 2010, Perth, Australia, 20--13 April 2010, pages 974--981, 2010.
[23]
K. Sivashanmugam, K. Verma, and A. P. Sheth. Discovery of web services in a federated registry environment. In Proceedings of the IEEE International Conference on Web Services (ICWS'04), San Diego, California, USA, pages 270--278. IEEE Computer Society, 2004.
[24]
K. Verma, K. Sivashanmugam, A. Sheth, A. Patil, S. Oundhakar, and J. Miller. Meteor-s wsdi: A scalable p2p infrastructure of registries for semantic publication and discovery of web services. Inf. Technol. and Management, 6(1):17--39, 2005.
[25]
B. Xu and D. Chen. Semantic web services discovery in p2p environment. In ICPPW '07: Proceedings of the 2007 International Conference on Parallel Processing Workshops, page 60. IEEE Computer Society, 2007.
[26]
Y. Xu, S. Tang, Y. Xu, R. Xiao, and L. Fang. Discovering web services based on match history. In Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC, Fontainbleau, France, June 25--27, pages 363--368, 2007.

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cover image ACM Other conferences
iiWAS '11: Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
December 2011
572 pages
ISBN:9781450307840
DOI:10.1145/2095536
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 05 December 2011

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Author Tags

  1. communities of registries
  2. managing communities of registries
  3. organization of web services registries

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