Semantic similarity measure based on multiple ressources

Author

Akermi, Imen ; Faiz, Rim

Author_Institution

LARODEC, Univ. of Tunis, Tunis, Tunisia

fYear

2012

fDate

24-26 March 2012

Firstpage

1

Lastpage

6

Abstract

The ability to accurately judge the semantic similarity between words is critical to the performance of several applications such as Information Retrieval and Natural Language Processing. Therefore, in this paper we propose a semantic similarity measure that uses in one hand, an online English dictionary provided by the Semantic Atlas project of the French National Centre for Scientific Research (CNRS) and on the other hand, a page counts based metric returned by a social website whose content is generated by users.

Keywords

information retrieval; natural language processing; semantic Web; social networking (online); French national centre for scientific research; information retrieval; multiple ressources; natural language processing; online English dictionary; page counts based metric; semantic atlas project; semantic similarity measure; social website; Dictionaries; Engines; Phase measurement; Semantics; Taxonomy; Web search; Information Retrieval; Semantic similarity; Similarity measures; User-generated content; Web search;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and e-Services (ICITeS), 2012 International Conference on

Conference_Location

Sousse

Print_ISBN

978-1-4673-1167-0

Type

conf

DOI

10.1109/ICITeS.2012.6216610

Filename

6216610