Exploiting User Feedback to Improve Semantic Web Service Discovery
A. Averbakh, D. Krause, and D. Skoutas. The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA, volume 5823 of Lecture Notes in Computer Science, Springer, Berlin, (2009)
DOI: 10.1007/978-3-642-04930-9_3
Abstract
State-of-the-art discovery of Semantic Web services is based on hybrid algorithms that combine semantic and syntactic matchmaking. These approaches are purely based on similarity measures between parameters of a service request and available service descriptions, which, however, fail to completely capture the actual functionality of the service or the quality of the results returned by it. On the other hand, with the advent of Web 2.0, active user participation and collaboration has become an increasingly popular trend. Users often rate or group relevant items, thus providing valuable information that can be taken into account to further improve the accuracy of search results. In this paper, we tackle this issue, by proposing a method that combines multiple matching criteria with user feedback to further improve the results of the matchmaker. We extend a previously proposed dominance-based approach for service discovery, and describe how user feedback is incorporated in the matchmaking process. We evaluate the performance of our approach using a publicly available collection of OWL-S services.
%0 Book Section
%1 AverbakhKrauseSkoutas09ISWC
%A Averbakh, Anna
%A Krause, Daniel
%A Skoutas, Dimitrios
%B The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA
%C Berlin
%D 2009
%E Bernstein, Abraham
%E Karger, David R.
%E Heath, Tom
%E Feigenbaum, Lee
%E Maynard, Diana
%E Motta, Enrico
%E Thirunarayan, Krishnaprasad
%I Springer
%K 01624 springer paper ai semantic web service user interaction ontology zzz.sw zzz.ios
%P 33--48
%R 10.1007/978-3-642-04930-9_3
%T Exploiting User Feedback to Improve Semantic Web Service Discovery
%V 5823
%X State-of-the-art discovery of Semantic Web services is based on hybrid algorithms that combine semantic and syntactic matchmaking. These approaches are purely based on similarity measures between parameters of a service request and available service descriptions, which, however, fail to completely capture the actual functionality of the service or the quality of the results returned by it. On the other hand, with the advent of Web 2.0, active user participation and collaboration has become an increasingly popular trend. Users often rate or group relevant items, thus providing valuable information that can be taken into account to further improve the accuracy of search results. In this paper, we tackle this issue, by proposing a method that combines multiple matching criteria with user feedback to further improve the results of the matchmaker. We extend a previously proposed dominance-based approach for service discovery, and describe how user feedback is incorporated in the matchmaking process. We evaluate the performance of our approach using a publicly available collection of OWL-S services.
@incollection{AverbakhKrauseSkoutas09ISWC,
abstract = {State-of-the-art discovery of Semantic Web services is based on hybrid algorithms that combine semantic and syntactic matchmaking. These approaches are purely based on similarity measures between parameters of a service request and available service descriptions, which, however, fail to completely capture the actual functionality of the service or the quality of the results returned by it. On the other hand, with the advent of Web 2.0, active user participation and collaboration has become an increasingly popular trend. Users often rate or group relevant items, thus providing valuable information that can be taken into account to further improve the accuracy of search results. In this paper, we tackle this issue, by proposing a method that combines multiple matching criteria with user feedback to further improve the results of the matchmaker. We extend a previously proposed dominance-based approach for service discovery, and describe how user feedback is incorporated in the matchmaking process. We evaluate the performance of our approach using a publicly available collection of OWL-S services.},
added-at = {2017-03-26T15:07:46.000+0200},
address = {Berlin},
author = {Averbakh, Anna and Krause, Daniel and Skoutas, Dimitrios},
biburl = {https://www.bibsonomy.org/bibtex/2cbbd13dc9bee14dc771e1a36d108e530/flint63},
booktitle = {The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA},
crossref = {ISWC2009},
doi = {10.1007/978-3-642-04930-9_3},
editor = {Bernstein, Abraham and Karger, David R. and Heath, Tom and Feigenbaum, Lee and Maynard, Diana and Motta, Enrico and Thirunarayan, Krishnaprasad},
file = {SpringerLink:2009/AverbakhKrauseSkoutas09ISWC.pdf:PDF},
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keywords = {01624 springer paper ai semantic web service user interaction ontology zzz.sw zzz.ios},
pages = {33--48},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2017-07-13T18:00:57.000+0200},
title = {Exploiting User Feedback to Improve Semantic Web Service Discovery},
username = {flint63},
volume = 5823,
year = 2009
}