Finding Similar Texts Using U-WIN

Author

Shim, Kang-seop ; Ock, Cheol-Young ; Kim, Dong-Meong ; Choe, Ho-Seop ; Kim, Chang-Hwan

Author_Institution

Dept. of Comput. Eng. & Inf. Technol., Ulsan Univ., Ulsan

fYear

2008

fDate

23-25 July 2008

Firstpage

43

Lastpage

48

Abstract

Many researches in foreign country for finding similar texts are in progress using the semantic language resources like WordNet. However, in the domestic situation, the language resources like WordNet are still insufficient and so, researches for finding similar texts methods based on it or the methods for utilizing it are insufficient, too. Most of the previous domestic researches for finding similar texts used only the words that occur in texts. In this paper, we propose the semantic based method of finding similar texts by determining the meaning of the words, using semantic similarity measurement with U-WIN.

Keywords

natural language processing; text analysis; U-WIN; WordNet; semantic language resources; semantic similarity measurement; similar text finding; Educational institutions; Equations; Frequency; Information retrieval; Information systems; Information technology; Intelligent networks; Natural languages; Ontologies; Recommender systems; Semantic Similarity; Text Similarity; U-WIN;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on

Conference_Location

Dalian Liaoning

Print_ISBN

978-0-7695-3273-8

Type

conf

DOI

10.1109/ALPIT.2008.81

Filename

4584339