Zhu, Jianhan; Uren, Victoria and Motta, Enrico
(2005).
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/11590019_59 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
Browsing constitutes an important part of the user information searching process on the Web. In this paper, we present a browser plug-in called ESpotter, which recognizes entities of various types on Web pages and highlights them according to their types to assist user browsing. ESpotter uses a range of standard named entity recognition techniques. In addition, a key new feature of ESpotter is that it addresses the problem of multiple domains on the Web by adapting lexicon and patterns to these domains.
| Item Type: | Conference Item |
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| Copyright Holders: | 2005 Springer-Verlag Berlin Heidelberg |
| ISBN: | 3-540-30465-7, 978-3-540-30465-4 |
| ISSN: | 0302-9743 |
| Extra Information: | Published in 'Professional Knowledge Management', Lecture Notes in Computer Science, sublibrary Lecture Notes in Artificial Intelligence, Volume 3782, 2005, pp. 518-529. ISBN: 3-540-30465-7.
Prototype demostrated at two earlier conferences: Jianhan Zhu, Victoria Uren, and Enrico Motta. ESpotter: A Prototype System for Adaptive Named Entity Recognition Supporting Web Browsing. The Fifteenth ACM Conference on Hypertext and Hypermedia (Hypertext'04), Santa Cruz, USA, August 9-13, 2004. Jianhan Zhu, Victoria Uren, and Enrico Motta. ESpotter: A Prototype System for Adaptive Named Entity Recognition Supporting Web Browsing. The Fourteenth International Conference on Knowledge Engineering and Knowledge Management (EKAW'2004), Whittlebury Hall, Northamptonshire, UK, October 5-8, 2004. |
| Academic Unit/Department: | Knowledge Media Institute |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
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| Item ID: | 9333 |
| Depositing User: | Users 6898 not found. |
| Date Deposited: | 28 Sep 2007 |
| Last Modified: | 25 May 2011 08:45 |
| URI: | http://oro.open.ac.uk/id/eprint/9333 |
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