BASIC APPROACHES TO EXTRACTING TEXTUAL INFORMATION (OVERVIEW)

This article is devoted to the review of known and modern approaches, methods and algorithms offull-text search. A brief history of the solution of the problem of search in unstructured text data, its developmentand relevance are described. The main task of search in text data is formulated. The definition ofthe database index is given. The target function of the search information system is defined in generalterms and possible compromise variations of its parameters when solving various applied problems aredescribed. A generalized architecture of a modern search information system is given with the division ofthe search problem into two phases: the primary extraction of relevant records and their subsequent rankingto form the final search results. The article provides basic descriptions of the main algorithms andmethods of full-text search, such as: search by terms (logical search), search using trees and their varieties(B-trees, UB-trees, tries), search based on n-grams (including search based on frequency representation),use of the vector space model (VSM), search based on an inverted (reverse) index, search using the apparatus of fuzzy logic and bioinspired methods. The main advantages and disadvantages of these methodsare given, their applicability in various conditions is described, and possible methods for optimizingthe search for text data to improve the accuracy, speed of search and efficiency of resource use are considered.Possible promising directions in the field of solving the problem of primary information extractionare presented. Some methods for determining the similarity of text records for solving the rankingproblem based on the apparatus of fuzzy logic are given. The article touches upon the issues of increasingthe relevance of primary extraction using artificial intelligence methods, neural networks, fuzzy logic andbioinspired methods, in particular methods for expanding the search query and/or expanding the processedtext records. The influence of the boundary conditions of the search system construction on increasingits efficiency is described. In conclusion, the article summarizes the review and discusses the prospectsfor further development of various full-text search methods.

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Publication Details

Journal
Izvestiâ ÛFU. Tehničeskie nauki
Published
2024-09-13
DOI
https://doi.org/10.18522/2311-3103-2024-4-6-14
Primary Topic
Advanced Text Analysis Techniques
Type
article
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article

BASIC APPROACHES TO EXTRACTING TEXTUAL INFORMATION (OVERVIEW)

Vladimir Kureichik, P. V. Gerasimenko
Izvestiâ ÛFU. Tehničeskie nauki
Advanced Text Analysis Techniques
article

BASIC APPROACHES TO EXTRACTING TEXTUAL INFORMATION (OVERVIEW)

Vladimir Kureichik, P. V. Gerasimenko
article en

Abstract

This article is devoted to the review of known and modern approaches, methods and algorithms offull-text search. A brief history of the solution of the problem of search in unstructured text data, its developmentand relevance are described. The main task of search in text data is formulated. The definition ofthe database index is given. The target function of the search information system is defined in generalterms and possible compromise variations of its parameters when solving various applied problems aredescribed. A generalized architecture of a modern search information system is given with the division ofthe search problem into two phases: the primary extraction of relevant records and their subsequent rankingto form the final search results. The article provides basic descriptions of the main algorithms andmethods of full-text search, such as: search by terms (logical search), search using trees and their varieties(B-trees, UB-trees, tries), search based on n-grams (including search based on frequency representation),use of the vector space model (VSM), search based on an inverted (reverse) index, search using the apparatus of fuzzy logic and bioinspired methods. The main advantages and disadvantages of these methodsare given, their applicability in various conditions is described, and possible methods for optimizingthe search for text data to improve the accuracy, speed of search and efficiency of resource use are considered.Possible promising directions in the field of solving the problem of primary information extractionare presented. Some methods for determining the similarity of text records for solving the rankingproblem based on the apparatus of fuzzy logic are given. The article touches upon the issues of increasingthe relevance of primary extraction using artificial intelligence methods, neural networks, fuzzy logic andbioinspired methods, in particular methods for expanding the search query and/or expanding the processedtext records. The influence of the boundary conditions of the search system construction on increasingits efficiency is described. In conclusion, the article summarizes the review and discusses the prospectsfor further development of various full-text search methods.

Izvestiâ ÛFU. Tehničeskie nauki(4)
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Advanced Text Analysis Techniques
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