Abstract
The article discusses the issues of texts ontological representations graph forms interactive use in tasks of information support by means of documentary type information retrieval systems in one of the most human activity complex types - scientific research - the new scientific knowledge output process, as result of which new facts are being established and generalized. Cognitive-like search tools on full texts based on knowledge graph is discussed. Examples of graph search using path search technologies and analysis of the neighborhood of an entity or property are given.
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Notes
- 1.
An ontology representation in graph form (Datalogical form) is a functional system [11] data model represents by labeled directed graph, that have multigraph property, and on which can be dynamically formed metagraph and hypergraph.
- 2.
Maksimov, N., Golitsyna, O., Monankov, K., Gavrilkina, A.: Documentary information and analytical system xIRBIS (revision 6.0): computer program [In Russian]. Certificate of state. registration No. 2020661683 dated 09/29/2020.
- 3.
An alternative way is to build graphs for each document, and then - graphs union.
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Acknowledgements
This work was supported by the Ministry of Science and Higher Education of the Russian Federation (state assignment project No. 0723–2020-0036).
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Maksimov, N., Golitsyna, O., Lebedev, A. (2022). Knowledge Graphs in Text Information Retrieval. In: Klimov, V.V., Kelley, D.J. (eds) Biologically Inspired Cognitive Architectures 2021. BICA 2021. Studies in Computational Intelligence, vol 1032. Springer, Cham. https://doi.org/10.1007/978-3-030-96993-6_28
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