Title :
Semantic Matching to Achieve Web Service Discovery and Composition
Author :
Akkiraju, Rama ; Srivastava, Biplav ; Ivan, Anca ; Goodwin, Richard ; Syeda-Mahmood, Tanveer
Author_Institution :
IBM T. J. Watson Res. Center, Hawthorne, NY
Abstract :
In this paper, we present a novel algorithm to discover and 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. In addition, we integrate semantic and ontological matching with an indexing method, which we call attribute hashing, to enable fast lookup of semantic ally related concepts
Keywords :
Web services; ontologies (artificial intelligence); planning (artificial intelligence); AI planning; Web service composition; Web service discovery; domain-independent ontologies; domain-specific ontologies; indexing method; ontological matching; semantic matching; semantic similarity score; Artificial intelligence; Drives; Indexing; Information retrieval; Laboratories; Ontologies; Process planning; Service oriented architecture; Thesauri; Web services;
Conference_Titel :
E-Commerce Technology, 2006. The 8th IEEE International Conference on and Enterprise Computing, E-Commerce, and E-Services, The 3rd IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7695-2511-3
DOI :
10.1109/CEC-EEE.2006.78
