%0 Journal Article
%T A SEMANTIC SIMILARITY MEASURE
%A Abdoulahi Boubacar
%A Niu Zhendong
%J International Journal of Engineering Sciences and Emerging Technologies
%D 2013
%I IAET
%X Similarity measures are the most important tools in information retrieval and natural language processing. Sentence similarities are of capital importance in online translation. Words-to-document similarity is the key factor to compute query relevance. Text similarities play a big role in data mining. A lot of similarity measures have been used in different domains. Most of the measures are corpus dependent or language dependent. When some measures are good to compute word-to-document matching, they are unable to compute document-to-document similarity and vice versa. In this paper we present a method that can be used to compute any kind of semantic similarity. The method is neither corpus dependent nor language dependent, and gives a way to compare more accurately semantic relatedness.
%K semantic similarity
%K data mining
%K information retrieval
%U http://www.ijeset.com/media/0001/4N11_IJESET0602122_v6_iss1_24to28.pdf