@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.}
}
@conference {Daosabah2021,
	title = {Integrating Context and Intention for Optimal Semantic Web Service Composition Using AI Planning},
	booktitle = {Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021},
	year = {2021},
	note = {cited By 0},
	abstract = {This paper deals with an approach for the dynamic composition of web service (WS) based on the user{\textquoteright}s intention and context. Our idea to implement this approach is based on the combination of artificial intelligence (AI) planning techniques and the semantic aspect describing the web service that will be composed. To this end, we will transform the web service composition problem into an AI planning problem. First, conversion of web service semantically described in OWL and OWL-S to an alternative problem and domain description specified in the planning domain description language (PDDL) is made. Then, a planner (AI Planner) using the Genetic Algorithm (GA) features will be invoked, by adapting the PDDL planning language actions to the GA rules, in order to generate the most optimal composition plan (sequence of PDDL actions), which solves the conceived service composition problem, having a goal to achieve (the intention) according to the problem domain description (context). {\textcopyright} 2021 IEEE.},
	keywords = {And OWL, Artificial intelligence, Artificial intelligence planning, Birds, Composition problem, Domain description, Genetic algorithms, Ontology{\textquoteright}s, OWL-S, Planning domain description languages, Quality of service, Semantic Web, Semantic web service compositions, Services composition, Web services, Webs services, Websites},
	doi = {10.1109/CommNet52204.2021.9641912},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123984789\&doi=10.1109\%2fCommNet52204.2021.9641912\&partnerID=40\&md5=582b92b4fd74d9de0d27f804898dee05},
	author = {Daosabah, A. and Guermah, H. and Choukri, I. and Nassar, M.}
}
