چکیده (انگلیسی):

Semantic Search has been a major longing factor from the
envisage state of Semantic Web. Information on the Web is growing at a
very rapid pace and has become quite voluminous over the past few
years. Semantics of the query is not considered in Traditional Search
system since it is a mere Keyword based Search. To increase the number
of relevant documents retrieved, queries need to be disambiguated by
looking at their context. A query expansion algorithm for Semantic
Information Retrieval in Sports Domain (SIRSD) is proposed to do
Semantic Search to improve search over large document repositories.
This algorithm reformulates user queries by using Word Net and domain
ontology to improve the returned results. Our proposal is illustrated with
sample experiments showing improvements with respect to Traditional
Search and providing ground for further research and discussion.
SIRSD reduces the issue of semantic interoperability during the user
query search. It has been inferred that there will be a higher value of
average precision and recall for the Semantic Search system when
compared to Traditional Search. The results show its effectiveness in
generating a suitable number of query search with an accuracy of 87.1%
compared to other competitors of generic search engines.