RSSE:
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.
