A Concept-Based Text Analysis Approach Using Knowledge Graph

被引:4
作者
Hojas-Mazo, Wenny [1 ]
Simon-Cuevas, Alfredo [1 ]
Campos, Manuel de la Iglesia [1 ]
Romero, Francisco P. [2 ]
Olivas, Jose A. [2 ]
机构
[1] Univ Tecnol La Habana Jose Antonio Echeverria, Cujae, Havana, Cuba
[2] Univ Castilla La Mancha, Ciudad Real, Spain
来源
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: THEORY AND FOUNDATIONS, PT II | 2018年 / 854卷
关键词
Computational text analysis; Graph-based text representation; Knowledge graph querying; Semantic processing;
D O I
10.1007/978-3-319-91476-3_57
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The large amounts and growing of unstructured texts, available in Internet and other scenarios, are becoming a very valuable resource of information and knowledge. The present work describes a concept-based text analysis approach, based on the use of a knowledge graph for structuring the texts content and a query language for retrieving relevant information and obtaining knowledge from the knowledge graph automatically generated. In the querying process, a semantic analysis method is applied for searching and integrating the conceptual structures from the knowledge graph, which is supported by a disambiguation algorithm and WordNet. The applicability of the proposed approach was evaluated in the analysis of scientific articles from a Systematic Literature Review and the results were contrasted with the conclusions obtained by the authors of this review.
引用
收藏
页码:696 / 708
页数:13
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