A Service Retrieval Model with Enhanced Dominance-Based Rough Sets

As an important part of service-oriented software engineering, service retrieval receives much attention from industry and academia, but which still leaves much to be expected: how the truth of the advertisement of service can be assured; how incomplete retrieval requirement can be dealt with; how a...

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Main Authors: Tang, Bin, Qian, Leqiu, Xu, Ruzhi, Xue, Yunjiao, Tang, Hui
Format: Conference Proceeding
Language:English
Subjects:
Business communication
Computer industry
Computer science
Information retrieval
Logic
Ontologies
Quality of service
Rough sets
Software engineering
Web services
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Qian, Leqiu
Xu, Ruzhi
Xue, Yunjiao
Tang, Hui
description As an important part of service-oriented software engineering, service retrieval receives much attention from industry and academia, but which still leaves much to be expected: how the truth of the advertisement of service can be assured; how incomplete retrieval requirement can be dealt with; how a service fit a user's need, existing methods based on ontology service model, which can be roughly classified as based on logic reasoning or similarity computing, still involve much effort of users to judge the fitness of the service in the result set. The paper introduces a new approach with Dominance-Based Rough Sets to obtain knowledge from past applications of services to deal with the three problems. Experiments verify the efficiency of the approach introduced in the paper.
doi_str_mv 10.1109/CIT.2006.26
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Business communication
Computer industry
Computer science
Information retrieval
Logic
Ontologies
Quality of service
Rough sets
Software engineering
Web services
title A Service Retrieval Model with Enhanced Dominance-Based Rough Sets
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