The Approach to Extracting Semantic Trees from Texts to Build an Ontology from Wiki-Resources

被引：0
|
作者：
Yarushkina, Nadezhda [1 ]
Filippov, Aleksey [1 ]
Moshkin, Vadim [1 ]
Dyakov, Ivan [1 ]
机构：
[1] Ulyanovsk State Tech Univ, Ulyanovsk, Russia
来源：
PROCEEDINGS OF THE THIRD INTERNATIONAL SCIENTIFIC CONFERENCE INTELLIGENT INFORMATION TECHNOLOGIES FOR INDUSTRY (IITI'18), VOL 1 | 2019年 / 874卷
基金：
俄罗斯基础研究基金会;
关键词：
Domain ontology; Semantic analysis; Linguistics; Text resources;
D O I：
10.1007/978-3-030-01818-4_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The article describes the developed method of extracting semantic trees from text resources. This method is based on the use of a sequence of linguistic algorithms in constructing a syntactic sentence tree. The basis of the developed method is the algorithm for translating syntax trees of text fragments into the structures of semantic trees using a set of rules. A formal model of the rules is presented. The resulting semantic trees can be combined into a domain ontology taking into account the built-in relations between objects in the wiki resource. An example of our approach is also presented.
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页码：127 / 137
页数：11
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