Abstract
A method of intelligent information search and contextual information provision in distributed data warehouses is proposed, that allows increasing the efficiency and quality of providing information for intelligent preparation and decision support. The method is based on the proposed compositional ontological model that provides an interoperable representation of knowledge about the tasks (processes) of the subject area, taking into account user profiles, in combination with functionally oriented information resources formed on the basis of generalization and semantic integration of structured, poorly structured and unstructured data from heterogeneous sources.
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The reported study was funded by RFBR, project number 18-29-03088.
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Vadim, B., Dmitry, K., Alexander, M. (2020). Intelligent Information Search Method Based on a Compositional Ontological Approach. In: Kuznetsov, S.O., Panov, A.I., Yakovlev, K.S. (eds) Artificial Intelligence. RCAI 2020. Lecture Notes in Computer Science(), vol 12412. Springer, Cham. https://doi.org/10.1007/978-3-030-59535-7_27
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DOI: https://doi.org/10.1007/978-3-030-59535-7_27
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