@article {Daosabah2022163,
	title = {PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services},
	journal = {EAI/Springer Innovations in Communication and Computing},
	year = {2022},
	note = {cited By 0},
	pages = {163-190},
	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). {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	keywords = {Artificial intelligence planning, Automatic composition, Birds, Context- awareness, Intention, Ontology, Ontology{\textquoteright}s, OWL-S, Planning domain description languages, Quality of service, Related works, Semantic Web, Services composition, Web services, Webs services, Websites},
	doi = {10.1007/978-3-030-77185-0_11},
	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},
	author = {Daosabah, A. and Guermah, H. and Nassar, M.}
}
