从语义到认知信息搜索:深层语义搜索的基本原理和模型

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2022-08-15 DOI:10.3103/S0005105522030074
N. V. Maksimov, O. L. Golitsyna
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引用次数: 3

摘要

摘要——考虑了以认知过程的信息支持为重点的人机文献检索的特点。分析了意义和语义信息搜索的概念。引入了深度语义搜索的概念,认为它是一个与知识图上的搜索机制交互的过程,类似于意识/认知操作的机制。引入了认知信息搜索的概念,它被认为是认知路径的构建——一种交互式迭代,在很大程度上依赖于目标事实在已发现事实的混沌集合上的先前结果形成。这种搜索的结果将是(1)选择满足真实信息需求的文档片段(而不是像传统文档检索系统那样选择满足表达需求的文档副本),以及(2)交互式生成的语义图——解决用户问题的概念图。给出了知识图深层语义搜索的数学模型。
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From Semantic to Cognitive Information Search: The Fundamental Principles and Models of Deep Semantic Search

Abstract

The features of human-machine documentary search focused on information support of cognitive processes are considered. The concepts of meaning and semantic information search are analyzed. The concept of deep semantic search is introduced, considered as an interactive process with search mechanisms on knowledge graph, similar to the mechanics of consciousness/cognition operations. The concept of cognitive information search is introduced, which is considered as the construction of a path of cognition—an interactive iterative and significantly dependent on the previous result formation of a target fact on a chaotic set of found facts. The result of such a search will be (1) the selection of fragments of documents that meet the real information need (and not copies of documents that meet the expressed need, as in traditional documentary retrieval system), and (2) an interactively generated semantic graph—a conceptual image of solving the user’s problem. Mathematical models of deep semantic search on knowledge graphs were given.

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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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