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

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Computational Intelligence in Recent Communication Networks

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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).

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Author information

Authors and Affiliations

  1. IMS Team, ADMIR Laboratory, ENSIAS, Mohammed V University, Rabat, Morocco

    Abdelmajid Daosabah, Hatim Guermah & Mahmoud Nassar

Authors
  1. Abdelmajid Daosabah
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  2. Hatim Guermah
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  3. Mahmoud Nassar
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Editor information

Editors and Affiliations

  1. Moulay Ismail University, Meknes, Morocco

    Mariya Ouaissa

  2. Hassan II University, Mohammedia, Morocco

    Zakaria Boulouard

  3. Moulay Ismail University, Meknes, Morocco

    Mariyam Ouaissa

  4. Parc Technopolis Rabat-Shore, International University of Rabat, Sala Al Jadida, Morocco

    Bassma Guermah

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Daosabah, A., Guermah, H., Nassar, M. (2022). PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services. In: Ouaissa, M., Boulouard, Z., Ouaissa, M., Guermah, B. (eds) Computational Intelligence in Recent Communication Networks . EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-77185-0_11

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