Article

A probabilistic semantic approach for discovering web services

Authors:

Jiangang Ma,

Jinli Cao,

Yanchun ZhangAuthors Info & Claims

WWW '07: Proceedings of the 16th international conference on World Wide Web

Pages 1221 - 1222

https://doi.org/10.1145/1242572.1242776

Published: 08 May 2007 Publication History

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Abstract

Service discovery is one of challenging issues in Service-Oriented computing. Currently, most of the existing service discovering and matching approaches are based on keywords-based strategy. However, this method is inefficient and time-consuming. In this paper, we present a novel approach for discovering web services. Based on the current dominating mechanisms of discovering and describing Web Services with UDDI and WSDL, the proposed approach utilizes Probabilistic Latent Semantic Analysis (PLSA) to capture semantic concepts hidden behind words in the query and advertisements in services so that services matching is expected to carry out at concept level. We also present related algorithms and preliminary experiments to evaluate the effectiveness of our approach.

References

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Thomas. Hofmann. Probabilistic Latent Semantic Analysis In Proceedings of the 22nd Annual ACM Conference on Research and Development in Information Retrieval. Berkeley, California, pages: 50--57, ACM Press, 1999.

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Thomas. Hofmann. Probabilistic Latent Semantic Indexing. In Proceedings of the 22nd Annual International SIGIR Conference on Research and Development in Information Retrieval,1999.

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Atul Sajjanhar, Jingyu Hou and Yanchun Zhang. Algorithm for Web Services Matching. In Proceedings of the 6th Asia-- Pacific Web Conference, APWeb 2004, Hangzhou, China, April, 14--17, 2004.

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Guandong Xu, Yanchun Zhang, Jiangang Ma and Xiaofang Zhou. Discovering User Access Pattern Based on Probabilistic Latent Factor Model. In Proceedings of the 16th Australasian Database Conference -- Volume: 39 pages: 27 -- 35, Newcastle, Australia, 2005.

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Cited By

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Agarwal NSikka GAwasthi L(2021)Web Service Clustering Technique based on Contextual Word Embedding for Service Representation2021 International Conference on Technological Advancements and Innovations (ICTAI)10.1109/ICTAI53825.2021.9673426(617-621)Online publication date: 10-Nov-2021
https://doi.org/10.1109/ICTAI53825.2021.9673426
Czyszczoń AZgrzywa A(2016)Review of Current Web Service Retrieval MethodsRecent Developments in Intelligent Information and Database Systems10.1007/978-3-319-31277-4_15(173-182)Online publication date: 27-Feb-2016
https://doi.org/10.1007/978-3-319-31277-4_15
Chen YKhoussainov BYe X(2013)A Game Theoretic Approach to Service Discovery and SelectionProceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2013.695(4072-4079)Online publication date: 13-Oct-2013
https://dl.acm.org/doi/10.1109/SMC.2013.695
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Index Terms

A probabilistic semantic approach for discovering web services
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
2. Information systems
  1. World Wide Web

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Published In

WWW '07: Proceedings of the 16th international conference on World Wide Web

May 2007

1382 pages

ISBN:9781595936547

DOI:10.1145/1242572

General Chairs:
Carey Williamson
University of Calgary, Canada
,
Mary Ellen Zurko
IBM, USA
,
Program Chairs:
Peter Patel-Schneider
Bell Labs Research, USA
,
Prashant Shenoy
University of Massachusetts at Amherst, USA

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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Association for Computing Machinery

New York, NY, United States

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Published: 08 May 2007

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WWW'07: 16th International World Wide Web Conference

May 8 - 12, 2007

Alberta, Banff, Canada

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Agarwal NSikka GAwasthi L(2021)Web Service Clustering Technique based on Contextual Word Embedding for Service Representation2021 International Conference on Technological Advancements and Innovations (ICTAI)10.1109/ICTAI53825.2021.9673426(617-621)Online publication date: 10-Nov-2021
https://doi.org/10.1109/ICTAI53825.2021.9673426
Czyszczoń AZgrzywa A(2016)Review of Current Web Service Retrieval MethodsRecent Developments in Intelligent Information and Database Systems10.1007/978-3-319-31277-4_15(173-182)Online publication date: 27-Feb-2016
https://doi.org/10.1007/978-3-319-31277-4_15
Chen YKhoussainov BYe X(2013)A Game Theoretic Approach to Service Discovery and SelectionProceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2013.695(4072-4079)Online publication date: 13-Oct-2013
https://dl.acm.org/doi/10.1109/SMC.2013.695
Grant SMartin DCordy JSkillicorn D(2011)Contextualized semantic analysis of web services2011 13th IEEE International Symposium on Web Systems Evolution (WSE)10.1109/WSE.2011.6081817(33-42)Online publication date: Sep-2011
https://doi.org/10.1109/WSE.2011.6081817
Andrikopoulos VBucchiarone ADi Nitto EKazhamiakin RLane SMazza VRichardson I(2010)Service engineeringService research challenges and solutions for the future internet10.5555/1985668.1985676(271-337)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.5555/1985668.1985676
AbuJarour MNaumann F(2010)Dynamic tags for dynamic data web servicesProceedings of the 5th International Workshop on Enhanced Web Service Technologies10.1145/1883133.1883135(3-9)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1145/1883133.1883135
Andrikopoulos VBucchiarone ADi Nitto EKazhamiakin RLane SMazza VRichardson I(2010)Service EngineeringService Research Challenges and Solutions for the Future Internet10.1007/978-3-642-17599-2_8(271-337)Online publication date: 2010
https://doi.org/10.1007/978-3-642-17599-2_8
Ma JZhang YHe J(2008)Efficiently finding web services using a clustering semantic approachProceedings of the 2008 international workshop on Context enabled source and service selection, integration and adaptation: organized with the 17th International World Wide Web Conference (WWW 2008)10.1145/1361482.1361487(1-8)Online publication date: 22-Apr-2008
https://dl.acm.org/doi/10.1145/1361482.1361487
Ma JZhang YHe J(2008)Web Services Discovery Based on Latent Semantic ApproachProceedings of the 2008 IEEE International Conference on Web Services10.1109/ICWS.2008.135(740-747)Online publication date: 23-Sep-2008
https://dl.acm.org/doi/10.1109/ICWS.2008.135
Bose ANayak RBruza P(2008)Improving Web Service Discovery by Using Semantic ModelsProceedings of the 9th international conference on Web Information Systems Engineering10.1007/978-3-540-85481-4_28(366-380)Online publication date: 1-Sep-2008
https://dl.acm.org/doi/10.1007/978-3-540-85481-4_28
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Efficiently finding web services using a clustering semantic approach

Semantic web service composition testbed

Semantic matchmaking of web services using model checking

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