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Urheberrechtlich gesch&uuml;tzt
https://rightsstatements.org/page/InC/1.0/
Web Service Composition
Web Service Matching
Semantic
Semantic Matching
Uninformed Search
Iterat
Web Service Challenge
WSC
Semantic Compositions
Semantic Web
IDDFS
Iterative Deepening Depth-First Search
Greedy Search
Genetic Algorithm
Best-First Search
004
Web Service Composition Systems for the Web Service Challenge - A Detailed Review
Technischer Report
This report gives a detailed discussion on the system, algorithms, and techniques that we have applied in order to solve the Web Service Challenges (WSC) of the years 2006 and 2007. These international contests are focused on semantic web service composition. In each challenge of the contests, a repository of web services is given. The input and output parameters of the services in the repository are annotated with semantic concepts. A query to a semantic composition engine contains a set of available input concepts and a set of wanted output concepts. In order to employ an offered service for a requested role, the concepts of the input parameters of the offered operations must be more general than requested (contravariance). In contrast, the concepts of the output parameters of the offered service must be more specific than requested (covariance). The engine should respond to a query by providing a valid composition as fast as possible. We discuss three different methods for web service composition: an uninformed search in form of an IDDFS algorithm, a greedy informed search based on heuristic functions, and a multi-objective genetic algorithm.
open access
Weise, Thomas
Bleul, Steffen
Geihs, Kurt
Kasseler Informatikschriften ;; 2007, 7
Data-Mining-Cup 2007
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Kasseler Informatikschriften
2007, 7
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