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Chicago, Illinois, USA
Sept. 18, 2006 to Sept. 22, 2006
ISBN: 0-7695-2669-1
pp: 37-44
Rama Akkiraju , IBM T. J. Watson Research Center, 19 Skyline Drive, Hawthorne, NY, 10532, USA
Biplav Srivastava , IBM India Research Laboratory, Block 1, IIT Campus, Hauz Khaus, New Delhi, 11016, India
Anca-Andreea Ivan , IBM T. J. Watson Research Center, 19 Skyline Drive, Hawthorne, NY, 10532, USA
Richard Goodwin , IBM India Research Laboratory, Block 1, IIT Campus, Hauz Khaus, New Delhi, 11016, India
Tanveer Syeda-Mahmood , IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120, USA
ABSTRACT
In this paper, we present a novel algorithm to compose Web services in the presence of semantic ambiguity by combining semantic matching and AI planning algorithms. Specifically, we use cues from domain-independent and domain-specific ontologies to compute an overall semantic similarity score between ambiguous terms. This semantic similarity score is used by AI planning algorithms to guide the searching process when composing services. Experimental results indicate that planning with semantic matching produces better results than planning or semantic matching alone. The solution is suitable for semi-automated composition tools or directory browsers.
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CITATION
Rama Akkiraju, Biplav Srivastava, Anca-Andreea Ivan, Richard Goodwin, Tanveer Syeda-Mahmood, "SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition", ICWS, 2006, 2013 IEEE 20th International Conference on Web Services, 2013 IEEE 20th International Conference on Web Services 2006, pp. 37-44, doi:10.1109/ICWS.2006.119
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