IMPLICIT KNOWLEDGE IN INFORMATION RETRIEVAL

Author(s): Kurdyukov N.S.

Rubric: Information technology

DOI: 10.21777/2500-2112-2024-1-80-87

Release: 2024-1 (46)

Pages: 80-87

Keywords: information search, information otological search, set-theoretic models, implicit knowledge, morphological search, semantic search

Annotation: The article explores implicit knowledge in information retrieval. There is a tendency to increase the volume of information, including in information networks. This trend motivates research in the field of information retrieval. An increase in the volume of information leads to an increase in hidden knowledge and information uncertainty. The taxonomy of the reasons for the inadequacy of the search in the information network is given. These reasons are divided into objective and cognitive. The difference between morphological and semantic search is shown. A set-theoretic model for describing the search for information and its results is proposed. Three main types of information retrieval are described. The difference between the search for information and the search for knowledge is shown. The qualitative difference between ontological and traditional information search is shown. The reasons for the appearance of implicit knowledge in practical activities and scientific research are shown. A formal description of the ontological search, including a component of implicit knowledge, is given. The criteria for the presence of implicit knowledge, which can be obtained through an ontological search, are shown. The results of this study contribute to the development of information retrieval methods, ontological search and the identification of implicit knowledge.

Bibliography: Kurdyukov N.S. IMPLICIT KNOWLEDGE IN INFORMATION RETRIEVAL // Education Resources and Technologies. – 2024. – № 1 (46). – С. 80-87. doi: 10.21777/2500-2112-2024-1-80-87