Zhu, Jianhan; Uren, Victoria and Motta, Enrico
|DOI (Digital Object Identifier) Link:||https://doi.org/10.1007/11590019_59|
|Google Scholar:||Look up in Google Scholar|
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|
|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:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Users 6898 not found.|
|Date Deposited:||28 Sep 2007|
|Last Modified:||17 Nov 2016 14:50|
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