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

@article{Akkiraju2006SEMAPLANCP,
  title={SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition},
  author={Rama Akkiraju and Biplav Srivastava and Anca-Andreea Ivan and Richard Goodwin and Tanveer F. Syeda-Mahmood},
  journal={2006 IEEE International Conference on Web Services (ICWS'06)},
  year={2006},
  pages={37-44}
}
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… CONTINUE READING
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