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User's intention and context as pertinent factors for optimal web service composition

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Abstract

Today, ubiquitous computing is gaining traction as a new generation capable of addressing the vast and scalable changes in the quality and amount of data processed and used by the public. As a result, various publications have tackled the problem of service composition by adopting methodologies that take into account the ideas of intention and context, but without actually merging them as concordant and relevant aspects in the service composition process. In this context, we propose an approach for service composition, guided by the user's intention and context, which is inspired by different works that have addressed the topic of service composition by exploiting artificial intelligence (AI) planning and the concepts related to intention and context. The main idea behind this approach is the implementation of conceptual and architectural aspects that allow the composition of services, independently of any platform, programming language, or specific tool, while ensuring the integrity of the handled data and the quality of the offered services. In this sense, we present in this paper a method to conceive a service composition problem into an AI planning problem, which is parameterized by the user's contextual data and seeks to achieve a goal related to a fixed intention by implementing an AI planner that exploits and manipulates the functionalities offered by a genetic algorithm (GA), which has as a goal to propose solutions that solve the conceived planning problem (composite services).

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ADMIR Laboratory, Rabat IT Center, ENSIAS

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Authors and Affiliations

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

    Abdelmajid Daosabah, Hatim Guermah & Mahmoud Nassar

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  1. Abdelmajid Daosabah
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  2. Hatim Guermah
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  3. Mahmoud Nassar
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Correspondence to Abdelmajid Daosabah.

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Daosabah, A., Guermah, H. & Nassar, M. User's intention and context as pertinent factors for optimal web service composition. SOCA 18, 33–66 (2024). https://doi.org/10.1007/s11761-023-00380-w

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  • DOI: https://doi.org/10.1007/s11761-023-00380-w

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