Classical logic and non-classical logics in information retrieval models

Authors

Keywords:

Information retrieval, Logic, Fuzzy Logic

Abstract

The use of logic in information retrieval (IR) models is examined through a bibliographic survey of the production in the field and critical analysis of relevant works. The survey reveals a growing volume of research on non-classical models that incorporate uncertainty, especially fuzzy logic in IR systems. The evolution of systems based on non-classical logics emerged from the classical/Boolean logic is discussed. It concludes with an attempt to respond to criticisms against logical formalism and recognizes the technical and conceptual evolution represented by the introduction of non-classical logical models in the field of IR.

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Author Biography

José, Universidade do Estado de Santa Catarina

PhD in Philosophy (USP, 2004), PhD in Information Science (UFSC, 2021). Professor at the Department of Library Science at the State University of Santa Catarina (UDESC) and at the Graduate Program in Management of Information Units (PPGInfo). Curriculum: http://lattes.cnpq.br/5814859475637460.

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Published

2024-05-14

How to Cite

Matos, J. C. M. M. (2024). Classical logic and non-classical logics in information retrieval models. Perspectivas Em Ciência Da Informação, 29, e48385. Retrieved from https://periodicos.ufmg.br/index.php/pci/article/view/48385