NDLI: Optimal Web service composition method based on an enhanced planning graph and using an immune-inspired algorithm

Content Provider	IEEE Xplore Digital Library
Author	Pop, C.B. Chifu, V.R. Salomie, I. Dinsoreanu, M.
Copyright Year	2009
Description	Author affiliation: Department of Computer Science, Technical University of Cluj-Napoca, 28, Gh. Baritiu St., 400027, Romania (Pop, C.B.; Chifu, V.R.; Salomie, I.; Dinsoreanu, M.)
Abstract	This paper presents a new approach for the automatic composition of semantic Web services based on the AI planning graph technique. In the context of Web service composition we have extended the planning graph with the new concepts of service cluster and semantic similarity link and have adapted and enhanced an immune-inspired algorithm that ranks the composition solutions according to user preferences. The composition algorithm creates a planning graph in a multi-layered process in order to solve the Web service composition request. Within each layer, semantic similarity links between the input parameters of the selected services in the current layer and the output parameters of other services, selected in previous layers, are stored in a matrix of semantic links. The semantic similarity links are calculated by using evaluation measures adapted from information retrieval such as recall, precision and F-measure.
Starting Page	291
Ending Page	298
File Size	376790
Page Count	8
File Format	PDF
ISBN	9781424450077
DOI	10.1109/ICCP.2009.5284746
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-27
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context-aware services Semantic Web Web services Genetic mutations Process planning Clustering algorithms Quality of service Ontologies Artificial intelligence Immune system
Content Type	Text
Resource Type	Article

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