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Research Article

Year : 2019 | Volume: 3 | Issue: 3 | Pages: 21-24

Virtual Query Facets using Knowledge Bases

Swathi A1*, A Swathi, Akarapu Nikhil kumar2

doi:10.24951/sreyasijst.org/2019031005

Corresponding author

Swathi A*

Sreyas

  • 1. Sreyas
  • 2.

Received on: 1/6/2019

Revised on: 1/6/2019

Accepted on: 1/6/2019

Published on: 1/6/2019

Abstract

A query facet is a significant list of information that explains an underlying aspect of a query. Existing algorithms on mining facets depends on extracting frequent lists contained in top search results. The coverage of facets and facet items mined by this kind of methods might be limited, because only a small number of search results are used. In order to solve this problem, we propose the algorithm on mining query facets by using knowledge bases which contain high-quality structured data. Second, we mine initial query facets from search results, then expanding them by finding similar entities from Freebase. Experimental results shown that our proposed method significantly improved the coverage of facet items over the state-of-the-art algorithms.

Keywords

Query, knowledge bases, facet, , .