Assisted query formulation using normalised word vector and dynamic ontological filtering

  • Authors:
  • Heinz Dreher;Robert Williams

  • Affiliations:
  • Curtin University of Technology, Perth, Western Australia;Curtin University of Technology, Perth, Western Australia

  • Venue:
  • FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Information seekers using the usual search techniques and engines are delighted by the sheer power of the technology at their command – speed, quantity. Upon closer inspection of the results, and reflection upon the next stages of the information seeking knowledge work, users are typically overwhelmed, and frustrated. We propose a partial solution by focusing on the query formulation aspect of the information seeking problem. First we introduce our version of a semantic analysis algorithm, named Normalised Word Vector, and explain its application in assisted query formulation. Secondly we introduce our ideas of supporting query refinement via Dynamic Ontological Filtering.