Assisted query formulation using normalised word vector and dynamic ontological filtering
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 overwhelm...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
Springer-Verlag
2006
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| Online Access: | https://link.springer.com/ http://hdl.handle.net/20.500.11937/11408 |
| _version_ | 1848747797447180288 |
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| author | Dreher, Heinz Williams, Robert |
| author_facet | Dreher, Heinz Williams, Robert |
| author_sort | Dreher, Heinz |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:54:51Z |
| format | Conference Paper |
| id | curtin-20.500.11937-11408 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:54:51Z |
| publishDate | 2006 |
| publisher | Springer-Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-114082018-09-25T02:05:45Z Assisted query formulation using normalised word vector and dynamic ontological filtering Dreher, Heinz Williams, Robert ontological information knowledge technology dynamic ontological filtering query normalised word vector ontology assisted query formation 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. 2006 Conference Paper http://hdl.handle.net/20.500.11937/11408 10.1007/11766254_24 https://link.springer.com/ Springer-Verlag fulltext |
| spellingShingle | ontological information knowledge technology dynamic ontological filtering query normalised word vector ontology assisted query formation Dreher, Heinz Williams, Robert Assisted query formulation using normalised word vector and dynamic ontological filtering |
| title | Assisted query formulation using normalised word vector and dynamic ontological filtering |
| title_full | Assisted query formulation using normalised word vector and dynamic ontological filtering |
| title_fullStr | Assisted query formulation using normalised word vector and dynamic ontological filtering |
| title_full_unstemmed | Assisted query formulation using normalised word vector and dynamic ontological filtering |
| title_short | Assisted query formulation using normalised word vector and dynamic ontological filtering |
| title_sort | assisted query formulation using normalised word vector and dynamic ontological filtering |
| topic | ontological information knowledge technology dynamic ontological filtering query normalised word vector ontology assisted query formation |
| url | https://link.springer.com/ http://hdl.handle.net/20.500.11937/11408 |