Song, D.; Lalmas, M.; van Rijsbergen, C. J.; Frommholz, I.; Piwowarski, B.; Wang, J.; Zhang, P.; Zuccon, G.; Bruza, P. D.; Arafat, S.; Azzopardi, L.; Di Buccio, E.; Huertas-Rosero, A.; Hou, Y.; Melucci, M. and Rüger, S.
(2010).
![[img]](http://oro.open.ac.uk/style/images/fileicons/application_pdf.png)
|
PDF (Version of Record)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (67kB) |
| URL: | http://www.aaai.org/ocs/index.php/FSS/FSS10/paper/... |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
This position paper provides an overview of work conducted and an outlook of future directions within the field of Information Retrieval (IR) that aims to develop novel models, methods and frameworks inspired by Quantum Theory (QT).
| Item Type: | Conference or Workshop Item |
|---|---|
| Copyright Holders: | 2010 Association for the Advancement of Artificial Intelligence |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) |
| Related URLs: | |
| Item ID: | 28200 |
| Depositing User: | Stefan Rüger |
| Date Deposited: | 17 Feb 2011 16:30 |
| Last Modified: | 18 Jul 2017 04:56 |
| URI: | http://oro.open.ac.uk/id/eprint/28200 |
| Share this page: |     |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.