Article Title

Web Search using Improved Concept Based Query Refinement

Authors

Ralla Suresh, Pulipati Prasad Engineering College,Khammam, A.PFollow
Saritha Vemuri, Pulipati Prasad Engineering College,Khammam, A.PFollow
Swetha V, M.Tech, JNTU Hyderabad,AP, India.Follow

Abstract

The information extracted from Web pages can be used for effective query expansion. The aspect needed to improve accuracy of web search engines is the inclusion of metadata, not only to analyze Web content, but also to interpret. With the Web of today being unstructured and semantically heterogeneous, keyword-based queries are likely to miss important results. . Using data mining methods, our system derives dependency rules and applies them to concept-based queries. This paper presents a novel approach for query expansion that applies dependence rules mined from a large Web World, combining several existing techniques for data extraction and mining, to integrate the system into COMPACT, our prototype implementation of a concept-based search engine.

Recommended Citation

Suresh, Ralla; Vemuri, Saritha; and V, Swetha (2013) "Web Search using Improved Concept Based Query Refinement," International Journal of Computer and Communication Technology: Vol. 4: Iss. 3, Article 8.
DOI: 10.47893/IJCCT.2013.1193
Available at: https://www.interscience.in/ijcct/vol4/iss3/8

DOI

10.47893/IJCCT.2013.1193