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Assisted query formulation using normalised word vector and dynamic ontological filtering

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Open access
Authors
Dreher, Heinz
Williams, Robert
Date
2006
Type
Conference Paper

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Citation
Dreher, Heinz and Williams, Robert. 2006. Assisted query formulation using normalised word vector and dynamic ontological filtering, in Larsen, H.L. and Pasi, G. and Ortiz-Arroyo, D. and Andreasen, T. and Christiansen, H. (ed), 7th International Conference on Flexible Query Answering Systems (FQAS 2006), Jul 01 2006, pp. 282-294. Milan, Italy: Springer-Verlag.
Source Title
Lecture Notes in Computer Science (LNCS-4027): Flexible Query Answering Systems
Source Conference
7th International Conference on Flexible Query Answering Systems (FQAS 2006)
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Faculty
Curtin Business School
School
Centre for Extended Enterprises and Business Intelligence
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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.