RSSE: A Paradigm f
RSSE: A Paradigm for
Proficient Information Retrieval using Semantic Web
Sridharan. K1, M.
Chitra2
1.Department of Computer Science, Anna University of
Technology, Coimbatore, India
2.Department of Information Technology, Sona College of
Technology, Salem, India.
Abstract: In
today’s scenario, due to the rapid growth of content volume over the internet,
the conventional search engines hardly do afford the required content relevant
to the user’s query. This can be effectively solved by enforcing semantic web
search methodologies. On addressing that, this paper proposed an efficient
prototype Relevancy-based Semantic Search Engine (RSSE). Moreover, the
framework enables the users to locate relevant resources and services through
semantics and domain expertise. A novel algorithm called Query Similarity
Prediction Algorithm (QSPA) has been developed for proficient information
retrieval with minimized processing time consumption and simultaneously,
serving multiple remote users. Ranking is also performed based on the relevance
score of retrieved documents to aid users for finding which documents are most
likely to be relevant documents to the given queries. The experimental results
reveal the efficiency of the proposed work with respect to the parameters such
as precision, recall, F-measure, and time required to retrieve the results for
queries.
[Sridharan. K, M. Chitra. RSSE: A Paradigm for
Proficient Information Retrieval using Semantic Web. Life
Sci J 2013;10(7s): 418-425] (ISSN:1097-8135). http://www.lifesciencesite.com. 64
Keywords: Cache
Server, information retrieval (IR), service level agreement (SLA), semantic
web, query similarity prediction algorithm (QSPA), ranking.
