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2024 Volume 39
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RESEARCH ARTICLE   Open Access    

Usefulness of Information for Achieving Goals with Disjunctive Premises

  • Université Côte d’Azur, I3S, CNRS, UMR 7271, Nice, France

  • ONERA, Toulouse, France

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  • Abstract: We propose a logic-based framework to model a system whose aim is to help provide the user with those pieces of information that are useful with respect to his/her current information need, as well as relevant to his/her query. More precisely, we propose three measures of information usefulness which take into account the fact that the user can be represented as a cognitive agent endowed with some beliefs—a partial “picture” about what it already knows—and goals—a certain state of affairs in which the agent would like to be. This paper extends a previous version of the framework by considering a more realistic hypothesis, according to which there are several ways to achieve goals. We present three different approaches: the binary approach, the ordinal approach, and the numerical approach. We take information retrieval (IR) as a particular application domain, and we compare some existing measures with the usefulness measure we introduce here.
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  • Cite this article

    Célia da Costa Pereira, Laurence Cholvy. 2024. Usefulness of Information for Achieving Goals with Disjunctive Premises. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000031
    Célia da Costa Pereira, Laurence Cholvy. 2024. Usefulness of Information for Achieving Goals with Disjunctive Premises. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000031
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RESEARCH ARTICLE   Open Access    

Usefulness of Information for Achieving Goals with Disjunctive Premises

  • Université Côte d’Azur, I3S, CNRS, UMR 7271, Nice, France

  • ONERA, Toulouse, France

  • Received: 17 May 2022
  • Revised: 26 December 2023
  • Accepted: 22 April 2024
  • Published online: 04 June 2024
The Knowledge Engineering Review  39,  2024, 39(1)  |  Cite this article

Abstract: Abstract: We propose a logic-based framework to model a system whose aim is to help provide the user with those pieces of information that are useful with respect to his/her current information need, as well as relevant to his/her query. More precisely, we propose three measures of information usefulness which take into account the fact that the user can be represented as a cognitive agent endowed with some beliefs—a partial “picture” about what it already knows—and goals—a certain state of affairs in which the agent would like to be. This paper extends a previous version of the framework by considering a more realistic hypothesis, according to which there are several ways to achieve goals. We present three different approaches: the binary approach, the ordinal approach, and the numerical approach. We take information retrieval (IR) as a particular application domain, and we compare some existing measures with the usefulness measure we introduce here.

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    Acknowledgments

    • We would like to thank the anonymous reviewers for their careful reading of our manuscript and for their helpful comments and suggestions. Célia da Costa Pereira acknowledges support of the PEPS AIRINFO project funded by the CNRS. This work has been carried out during her visit at the ONERA center of Toulouse.

    • In propositional logic, $\phi \models \psi$ means that $\psi$ is a logical consequence of $\phi$.

    • Such a degree should be noted $U_{B_a,G_a}(\varphi)$ but we will note it $U(\varphi)$ when there is no ambiguity.

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    Célia da Costa Pereira, Laurence Cholvy. 2024. Usefulness of Information for Achieving Goals with Disjunctive Premises. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000031
    Célia da Costa Pereira, Laurence Cholvy. 2024. Usefulness of Information for Achieving Goals with Disjunctive Premises. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000031
    shu

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