Use this URL to cite or link to this record in EThOS: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.653061 |
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Title: | Navigating the knowledge graph : automatically acquiring and utilising a domain model for intranet search | ||||
Author: | Adindla, Suma |
ISNI:
0000 0004 5358 0176
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Awarding Body: | University of Essex | ||||
Current Institution: | University of Essex | ||||
Date of Award: | 2014 | ||||
Availability of Full Text: |
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Abstract: | |||||
Search is becoming more interactive, and query logs are the commonly used resources to
propose search suggestions. An alternative to exploiting query logs can be an extraction
of a domain model based on actual documents. This is particularly promising when
restricting search to an intranet or a Web site where the size of the collection allows the
application of full natural language parsing and where the documents can be expected to
be virtually spam-free. Using a university Web site as an exemplar, we can automatically
extract predicate-argument structures from documents to acquire a domain model. This
domain model is a term association graph which can be employed to guide users in
information finding. This can be done by locating a user query in the model and suggesting
directly connected terms as query suggestions. Alternatively, one could apply various
graph-based algorithms to the initial model with a purpose of identifying the best possible
suggestions.
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Supervisor: | Not available | Sponsor: | Not available | ||
Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||
EThOS ID: | uk.bl.ethos.653061 | DOI: | Not available | ||
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