@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.} } @conference {Fissaa2018, title = {An intelligent approach for context-aware service selection using machine learning}, booktitle = {ACM International Conference Proceeding Series}, year = {2018}, doi = {10.1145/3230905.3230938}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053485269\&doi=10.1145\%2f3230905.3230938\&partnerID=40\&md5=9a122db8fcb1e41bf5f54261c361ce7a}, author = {Fissaa, T. and Guermah, H. and Hamlaoui, M.E.L. and Hafiddi, H. and Nassar, M.} }