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PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services

Titre	PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services
Publication Type	Journal Article
Year of Publication	2022
Authors	Daosabah, A, Guermah, H, Nassar, M
Journal	EAI/Springer Innovations in Communication and Computing
Pagination	163-190
Mots-clés	Artificial intelligence planning, Automatic composition, Birds, Context- awareness, Intention, Ontology, Ontology's, OWL-S, Planning domain description languages, Quality of service, Related works, Semantic Web, Services composition, Web services, Webs services, Websites
Abstract	Among the motivations of the related work on semantic Web services is to find optimal solutions for the composition of Web services in an automatic and adaptive way, whose main goal is to solve a given problem. To this end, several works have been implemented to provide solutions for service composition, and among these solutions, we find the use of artificial intelligence (AI) planning systems. The idea introduced in this paper is based on the presentation of our service composition approach guided by the user-intention and the context awareness, in addition to a Context-Intentional Service Composition Architecture (CISCA) for implementing this approach. In the same way, we will present an AI planning technique to solve a composition problem, namely, the Planning Domain Description Language (PDDL) and the basis for reciprocal transformation with the Web Ontology Language (OWL). © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125907756&doi=10.1007%2f978-3-030-77185-0_11&partnerID=40&md5=16113b5121fd2ffdba8c9fed915dd4e8
DOI	10.1007/978-3-030-77185-0_11