Methods and tools for identifying names of entities and relationships based on lexical and syntactic templates are considered in the framework of the task of semantic indexing of document texts. The content of the text is considered as a set of elementary facts represented by triplets, including the names of entities and relationships. Relations are divided into immanent, situational, and structural–linguistic. A taxonomy of relations is used to typify situational relations, whose classes include linguistic constructions. Immanent relations are formed on the basis of a network of concepts (thesaurus). A taxonomy of properties and units of measurement is used to identify the properties of entities. The proposed approach allows one to use the names of entities and the names of relationships, as well as elementary facts and complete semantic constructions made up of them, as a search query.

在文档文本语义索引任务的框架中考虑了基于词汇和句法模板识别实体名称和关系的方法和工具。文本的内容被认为是一组由三元组表示的基本事实，包括实体和关系的名称。关系分为内在的、情境的和结构-语言的。关系分类法用于表征情境关系，其类别包括语言结构。内在关系是在概念网络（同义词库）的基础上形成的。属性和度量单位的分类用于识别实体的属性。提议的方法允许使用实体名称和关系名称，