Sciweavers

Share
AAAI
2006

SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition

11 years 3 months ago
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
Composing existing Web services to deliver new functionality is a difficult problem as it involves resolving semantic, syntactic and structural differences among the interfaces of a large number of services. Unlike most planning problems, it can not be assumed that Web services are described using terms from a single domain theory. While service descriptions may be controlled to some extent in restricted settings (e.g., intraenterprise integration), in Web-scale open integration, lack of common, formalized service descriptions prevent the direct application of standard planning methods. 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 searchin...
Rama Akkiraju, Biplav Srivastava, Anca-Andreea Iva
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where AAAI
Authors Rama Akkiraju, Biplav Srivastava, Anca-Andreea Ivan, Richard Goodwin, Tanveer Fathima Syeda-Mahmood
Comments (0)
books