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ESpotter: adaptive named entity recognition for web browsing

Zhu, Jianhan; Uren, Victoria and Motta, Enrico (2005). ESpotter: adaptive named entity recognition for web browsing. In: Workshop on IT Tools for Knowledge Management Systems (at WM2005 Conference), 11-13 Apr 2005, Kaiserslautern, Germany, Springer, pp. 518–529.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/11590019_59
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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
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)
Related URLs:
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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