面向不稳定沉浸式环境管理任务的低结构信息自动知识提取技术

Bulletin of the Saint Petersburg State Institute of Technology (Technical University) Pub Date : 2022-01-01 DOI:10.36807/1998-9849-2022-63-89-68-77

A. Musaev, D. A. Grigoriev

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引用次数: 0

摘要

研究了从非结构化文本数据中自动提取知识的问题。该应用程序在不稳定的浸入式环境中执行主动管理任务。简要概述了文本信息知识提取技术的现状，并对其进行了批判性分析。对从文本信息中提取知识的任务进行了形式化表述。开发了文本文档预处理自动化系统和训练数据多边形的结构。提出了创建用于从文本消息中提取知识的搜索和统计技术的选项。

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TECHNOLOGIES FOR AUTOMATIC KNOWLEDGE EXTRACTION FROM POORLY STRUCTURED INFORMATION FOR MANAGEMENT TASKS IN UNSTABLE IMMERSION ENVIRONMENTS

The problem of automatic knowledge extraction from poorly structured text data is considered. The application uses the task of proactive management in unstable immersion environments. A brief overview and critical analysis of the current state of knowledge extraction technologies from text messages are presented. A formalized formulation of the task of extracting knowledge from textual information was carried out. The structures of an automated system for preprocessing text documents and a training data polygon were developed. Options for creating search and statistical technologies for extracting knowledge from text messages are presented.

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来源期刊

Bulletin of the Saint Petersburg State Institute of Technology (Technical University)

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