A comparative illustration of AI planning-based web services composition

Authors:
Seog-Chan Oh;Dongwon Lee;Soundar R. T. Kumara
Affiliations:
Industrial and Manufacturing Engineering department, Penn State University;School of IST, Penn State University;Industrial and Manufacturing Engineering department, Penn State University
Venue:
ACM SIGecom Exchanges
Year:
2006

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Abstract

As the number of available web services proliferates, finding right web services to fulfill a given goal becomes an important task. In particular, a problem of combining multiple web services to satisfy a single task, known as web services composition problem, has received much attention recently, and various solutions have been proposed. Among many proposed solutions, however, it is not clear to use which one in what scenarios. In this paper, to this end, we present: (1) a taxonomy and decision guideline of available solution spaces; (2) an overview of syntactic and semantic matching approaches, and (3) a comparative illustration of three representative solutions from the perspective of e-service workflows.