Abstract:
Nowadays, information retrieval (IR)
system is to provide users with documents that
contain their information need based on the user
query. Due to the ambiguous query words, the
keyword-based IR system fails to recognize the
relevance of documents to the query. Word sense
disambiguation (WSD) can solve this problem to
improve the keyword-based IR performance. So,
this system proposes the word sense-based IR
(WSIR) system by using Jaccard coefficient based
similarity method. In this system, similarity based
WSD method is used to disambiguate the
ambiguous words in the user query. This system
also uses the WordNet and Corpus as the lexical
resources that encoded senses of each word. In the
WSIR system, the various senses that are provided
by the WSD method have been used as semantics
for indexing the documents. To show the better
performance of the WSIR, this system compares
the keyword-based IR and word sense-based IR.
This system is implemented by using C#
programming language
