Ontology driven Pre and Post Ranking based Information Retrieval in Web Search Engines
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 6
Abstract
With the tremendous growth of World Wide Web, it has become necessary to organize the information in such a way that it will make easier for the end users to find the information they want efficiently and accurately. This requires a pre-ranking of the underlying similar documents after the formation of the index. Thereafter the ranking of the search results in response to a query takes place which provides relevant results to user. This paper proposes an ontology driven pre ranking of the documents with identical context and hence post ranking of the search results using keyword matching of the expanded query terms and document keywords in the pre-ranked search results.
Authors and Affiliations
Parul Gupta , Dr. A. K. Sharma
MODIFIED GINI INDEX CLASSIFICATION: A CASE STUDY OF HEART DISEASE DATASET
Classification has been used for predicting medical diagnosis. Classification methods can handle both numerical and categorical attributes. Gini index uses the method which biases multivalued attributes. When the number...
INVESTMENT PORTFOLIO MANAGER- MOBILE APPLICATION
The application of this project is to help the user keep track of his investments and manage his portfolio anytime, anywhere. A system of this sort finds its applications in trading, keeping track of the user's/company's...
SOFTWARE ARCHITECTURE BASED REGRESSION TESTING
Software architecture plays a significant role in development of a dependable system. The purpose of regression testing is to make the system fault tolerant. The amalgamation of these two, results in the development of a...
Design of MIMO Space-Time Code for High Data Rate Wireless Communication
Multiple-input and multiple-output, or MIMO, is the use of multiple antennas at both the transmitter and receiver to improve communication performance. MIMO technology has attracted attention in wireless communications,...
Investigation of data clustering preprocessing algorithm on independent attributes to improve the performance of CLONALG
It is a popularly held belief that preprocessing of data generally improves the classification efficiency of data mining algorithms. We study the effects of preprocess by utilizing an algorithm to cluster points in a dat...