Preference-based AI Planning for Web Service Composition

A web service is a technology that allows data to be exchanged between applications using open protocols and standards. Web services generally offer basic functions that solve specific problems. The composition of services occurs when more complex problems need to be solved using successive invocati...

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Bibliographic Details
Published in:Revista IEEE América Latina 2020-11, Vol.18 (11), p.1987-1995
Main Authors: Vallejos, Sebastian, Da Rocha Araujo, Leonardo, Rodriguez, Guillermo, Berdun, Luis, Toscani, Renzo
Format: Article
Language:English
Subjects:
Algorithms
Composition
Internet service providers
Manuals
Ontologies
Ontology Web Service Language (OWL-S)
OWL
Partial Order Planning
Planning
Planning with Preferences
Quality of service
Response time
Silicon
Web Service Composition
Web Service Description Language
Web services
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Summary:A web service is a technology that allows data to be exchanged between applications using open protocols and standards. Web services generally offer basic functions that solve specific problems. The composition of services occurs when more complex problems need to be solved using successive invocations to other services. The automatic composition of web services is a current problem. Due to the continuous creation and updating of services, the manual composition of new services becomes impractical. Planning algorithms are an alternative to automate the process of web services composition. In particular, the planning algorithms with preferences allow users to guide the algorithm to find a solution in line with their requirements (e.g. prioritizing the use of services according to properties such as availability, cost, response time, etc.). This paper introduces a Planning approach with preferences to compose and run complex services from a set of web services given as input. To evaluate the approach, different preferences about the input services were used to obtain composition of services. As a result, we measured the feasibility of the proposed approach and the impact of the use of preferences on the composition result.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2020.9398640