Combining link and content-based information in a Bayesian inference model for entity search
Koumenides, Christos and Shadbolt, Nigel (2012) Combining link and content-based information in a Bayesian inference model for entity search. In, 1st Joint International Workshop on Entity-oriented and Semantic Search (SIGIR 2012), Portland, US, 12 - 16 Aug 2012. 6pp.
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Description/Abstract
An architectural model of a Bayesian inference network to support entity search in semantic knowledge bases is presented. The model supports the explicit combination of primitive data type and object-level semantics under a single computational framework. A flexible query model is supported capable to reason with the availability of simple semantics in queries
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Physical and Applied Science |
| Item ID: | 342220 |
| Date Deposited: | 22 Aug 2012 07:45 |
| Last Modified: | 02 Oct 2012 14:25 |
| Contributors: | Koumenides, Christos (Author) Shadbolt, Nigel (Author) Salvadores, Manuel (Proofreader) Omitola, Temitope (Proofreader) |
| Date: | 13 August 2012 |
| Status: | Unpublished |
| URI: | http://eprints.soton.ac.uk/id/eprint/342220 |
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Combining link and content-based information in a Bayesian inference model for entity search. (deposited 16 Aug 2012 08:23)
- Combining link and content-based information in a Bayesian inference model for entity search. (deposited 22 Aug 2012 07:45) [Currently Displayed]
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