Text similarity calculation method based on ontology model

Author

Tao Chi ; Hanshi Wang ; Lizhen Liu ; Wei Song ; Chao Du

Author_Institution

Inf. & Eng. Coll., Capital Normal Univ., Beijing, China

fYear

2014

Firstpage

213

Lastpage

217

Abstract

Chinese text similarity calculation plays an important role in the Chinese information processing field. This paper uses ontology to calculate text similarity. The ontology has been widely used in natural language processing. Its unique concept model on the relationship offers a new processing method for word similarity calculation. Based on the characteristics of ontology and combined with HowNet and TongYiCi CiLin, we design a Hybrid Word Similarity Calculation-HWSC method and present a text similarity calculation method based on ontology model. The experimental results show that the method can make full use of the characteristics of ontology to accurately calculate the similarity between two texts.

Keywords

natural language processing; ontologies (artificial intelligence); text analysis; word processing; Chinese information processing field; Chinese text similarity calculation method; HWSC method; HowNet; TongYiCi CiLin; hybrid word similarity calculation; natural language processing; ontology characteristics; ontology model; word similarity calculation; Ontologies; Transforms; HowNet; Ontology; Text similarity; TongYiCi CiLin;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on

Print_ISBN

978-1-4799-4765-2

Type

conf

DOI

10.1109/CCIOT.2014.7062539

Filename

7062539