ESpotter : adaptive named entity recognition for web browsing

Jianhan Zhu; Victoria Uren; Enrico Motta

doi:10.1007/11590019_59

ESpotter : adaptive named entity recognition for web browsing

Jianhan Zhu, Victoria Uren, Enrico Motta

Operations & Information Management

Research output: Chapter in Book/Published conference output › Conference publication

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.

Original language	English
Title of host publication	Professional knowledge management
Subtitle of host publication	third biennial conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers
Editors	Klaus-Dieter Althoff, Andreas Dengel, Ralph Bergmann, Markus Nick, Thomas Roth-Berghofer
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	518-529
Number of pages	12
ISBN (Electronic)	978-3-540-31620-6
ISBN (Print)	978-3-540-30465-4
DOIs	https://doi.org/10.1007/11590019_59
Publication status	Published - 2005
Event	Professional Knowledge Management 3rd Biennial Conference - Kaiserslautern, Germany Duration: 10 Apr 2005 → 13 Apr 2010

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Volume	3782
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Professional Knowledge Management 3rd Biennial Conference
Abbreviated title	WM 2005
Country/Territory	Germany
City	Kaiserslautern
Period	10/04/05 → 13/04/10

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10.1007/11590019_59

Cite this

Zhu, J., Uren, V., & Motta, E. (2005). ESpotter : adaptive named entity recognition for web browsing. In K.-D. Althoff, A. Dengel, R. Bergmann, M. Nick, & T. Roth-Berghofer (Eds.), Professional knowledge management: third biennial conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers (pp. 518-529). (Lecture notes in computer science; Vol. 3782). Springer. https://doi.org/10.1007/11590019_59

Zhu, Jianhan ; Uren, Victoria ; Motta, Enrico. / ESpotter : adaptive named entity recognition for web browsing. Professional knowledge management: third biennial conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers. editor / Klaus-Dieter Althoff ; Andreas Dengel ; Ralph Bergmann ; Markus Nick ; Thomas Roth-Berghofer. Berlin (DE) : Springer, 2005. pp. 518-529 (Lecture notes in computer science).

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title = "ESpotter : adaptive named entity recognition for web browsing",

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.",

author = "Jianhan Zhu and Victoria Uren and Enrico Motta",

year = "2005",

doi = "10.1007/11590019_59",

language = "English",

isbn = "978-3-540-30465-4",

series = "Lecture notes in computer science",

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pages = "518--529",

editor = "Klaus-Dieter Althoff and Andreas Dengel and Ralph Bergmann and Markus Nick and Thomas Roth-Berghofer",

booktitle = "Professional knowledge management",

address = "Germany",

note = "Professional Knowledge Management 3rd Biennial Conference, WM 2005 ; Conference date: 10-04-2005 Through 13-04-2010",

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Zhu, J, Uren, V & Motta, E 2005, ESpotter : adaptive named entity recognition for web browsing. in K-D Althoff, A Dengel, R Bergmann, M Nick & T Roth-Berghofer (eds), Professional knowledge management: third biennial conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers. Lecture notes in computer science, vol. 3782, Springer, Berlin (DE), pp. 518-529, Professional Knowledge Management 3rd Biennial Conference, Kaiserslautern, Germany, 10/04/05. https://doi.org/10.1007/11590019_59

ESpotter : adaptive named entity recognition for web browsing. / Zhu, Jianhan; Uren, Victoria; Motta, Enrico.
Professional knowledge management: third biennial conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers. ed. / Klaus-Dieter Althoff; Andreas Dengel; Ralph Bergmann; Markus Nick; Thomas Roth-Berghofer. Berlin (DE): Springer, 2005. p. 518-529 (Lecture notes in computer science; Vol. 3782).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - ESpotter : adaptive named entity recognition for web browsing

AU - Zhu, Jianhan

AU - Uren, Victoria

AU - Motta, Enrico

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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U2 - 10.1007/11590019_59

DO - 10.1007/11590019_59

M3 - Conference publication

SN - 978-3-540-30465-4

T3 - Lecture notes in computer science

SP - 518

EP - 529

BT - Professional knowledge management

A2 - Althoff, Klaus-Dieter

A2 - Dengel, Andreas

A2 - Bergmann, Ralph

A2 - Nick, Markus

A2 - Roth-Berghofer, Thomas

PB - Springer

CY - Berlin (DE)

T2 - Professional Knowledge Management 3rd Biennial Conference

Y2 - 10 April 2005 through 13 April 2010

ER -

Zhu J, Uren V, Motta E. ESpotter : adaptive named entity recognition for web browsing. In Althoff KD, Dengel A, Bergmann R, Nick M, Roth-Berghofer T, editors, Professional knowledge management: third biennial conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers. Berlin (DE): Springer. 2005. p. 518-529. (Lecture notes in computer science). doi: 10.1007/11590019_59

ESpotter : adaptive named entity recognition for web browsing

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