Context based wikipedia linking

Michael Granitzer; Christin Seifert; Mario Zechner

doi:10.1007/978-3-642-03761-0_36

Context based wikipedia linking

Michael Granitzer, Christin Seifert, Mario Zechner

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

3 Citations (Scopus)

Abstract

Automatically linking Wikipedia pages can be done either content based by exploiting word similarities or structure based by exploiting characteristics of the link graph. Our approach focuses on a content based strategy by detecting Wikipedia titles as link candidates and selecting the most relevant ones as links. The relevance calculation is based on the context, i.e. the surrounding text of a link candidate. Our goal was to evaluate the influence of the link-context on selecting relevant links and determining a links best-entry-point. Results show, that a whole Wikipedia page provides the best context for resolving link and that straight forward inverse document frequency based scoring of anchor texts achieves around 4% less Mean Average Precision on the provided data set. © 2009 Springer Berlin Heidelberg.

Original language	English
Title of host publication	Advances in Focused Retrieval
Subtitle of host publication	7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	354-365
Number of pages	12
ISBN (Electronic)	978-3-642-03761-0
ISBN (Print)	978-3-642-03760-3
DOIs	https://doi.org/10.1007/978-3-642-03761-0_36
Publication status	Published - 2009
Externally published	Yes
Event	7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008 - Dagstuhl, Germany Duration: 15 Dec 2008 → 18 Dec 2008 Conference number: 7

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	5631
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008
Abbreviated title	INEX
Country/Territory	Germany
City	Dagstuhl
Period	15/12/08 → 18/12/08

Keywords

Context Exploitation
INEX
Link-the-Wiki
Proximity
Suchmaschinen
XML mining
XML-Retrieval
Classification
Data mining
Information retrieval
Knowledge discovery
Large sets
p2p search
Performance evaluation
Similarity detection
Self organizing

Access to Document

10.1007/978-3-642-03761-0_36

Cite this

Granitzer, M., Seifert, C., & Zechner, M. (2009). Context based wikipedia linking. In Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (pp. 354-365). (Lecture Notes in Computer Science; Vol. 5631). Springer. https://doi.org/10.1007/978-3-642-03761-0_36

Granitzer, Michael ; Seifert, Christin ; Zechner, Mario. / Context based wikipedia linking. Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers. Berlin, Heidelberg : Springer, 2009. pp. 354-365 (Lecture Notes in Computer Science).

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title = "Context based wikipedia linking",

abstract = "Automatically linking Wikipedia pages can be done either content based by exploiting word similarities or structure based by exploiting characteristics of the link graph. Our approach focuses on a content based strategy by detecting Wikipedia titles as link candidates and selecting the most relevant ones as links. The relevance calculation is based on the context, i.e. the surrounding text of a link candidate. Our goal was to evaluate the influence of the link-context on selecting relevant links and determining a links best-entry-point. Results show, that a whole Wikipedia page provides the best context for resolving link and that straight forward inverse document frequency based scoring of anchor texts achieves around 4% less Mean Average Precision on the provided data set. {\textcopyright} 2009 Springer Berlin Heidelberg.",

keywords = "Context Exploitation, INEX, Link-the-Wiki, Proximity, Suchmaschinen, XML mining, XML-Retrieval, Classification, Data mining, Information retrieval, Knowledge discovery, Large sets, p2p search, Performance evaluation, Similarity detection, Self organizing",

author = "Michael Granitzer and Christin Seifert and Mario Zechner",

year = "2009",

doi = "10.1007/978-3-642-03761-0_36",

language = "English",

isbn = "978-3-642-03760-3",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "354--365",

booktitle = "Advances in Focused Retrieval",

note = "7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008 , INEX ; Conference date: 15-12-2008 Through 18-12-2008",

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Granitzer, M, Seifert, C & Zechner, M 2009, Context based wikipedia linking. in Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers. Lecture Notes in Computer Science, vol. 5631, Springer, Berlin, Heidelberg, pp. 354-365, 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008 , Dagstuhl, Saarland, Germany, 15/12/08. https://doi.org/10.1007/978-3-642-03761-0_36

Context based wikipedia linking. / Granitzer, Michael; Seifert, Christin; Zechner, Mario.

Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers. Berlin, Heidelberg : Springer, 2009. p. 354-365 (Lecture Notes in Computer Science; Vol. 5631).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Context based wikipedia linking

AU - Granitzer, Michael

AU - Seifert, Christin

AU - Zechner, Mario

N1 - Conference code: 7

PY - 2009

Y1 - 2009

N2 - Automatically linking Wikipedia pages can be done either content based by exploiting word similarities or structure based by exploiting characteristics of the link graph. Our approach focuses on a content based strategy by detecting Wikipedia titles as link candidates and selecting the most relevant ones as links. The relevance calculation is based on the context, i.e. the surrounding text of a link candidate. Our goal was to evaluate the influence of the link-context on selecting relevant links and determining a links best-entry-point. Results show, that a whole Wikipedia page provides the best context for resolving link and that straight forward inverse document frequency based scoring of anchor texts achieves around 4% less Mean Average Precision on the provided data set. © 2009 Springer Berlin Heidelberg.

AB - Automatically linking Wikipedia pages can be done either content based by exploiting word similarities or structure based by exploiting characteristics of the link graph. Our approach focuses on a content based strategy by detecting Wikipedia titles as link candidates and selecting the most relevant ones as links. The relevance calculation is based on the context, i.e. the surrounding text of a link candidate. Our goal was to evaluate the influence of the link-context on selecting relevant links and determining a links best-entry-point. Results show, that a whole Wikipedia page provides the best context for resolving link and that straight forward inverse document frequency based scoring of anchor texts achieves around 4% less Mean Average Precision on the provided data set. © 2009 Springer Berlin Heidelberg.

KW - Context Exploitation

KW - INEX

KW - Link-the-Wiki

KW - Proximity

KW - Suchmaschinen

KW - XML mining

KW - XML-Retrieval

KW - Classification

KW - Data mining

KW - Information retrieval

KW - Knowledge discovery

KW - Large sets

KW - p2p search

KW - Performance evaluation

KW - Similarity detection

KW - Self organizing

UR - http://www.mendeley.com/research/context-based-wikipedia-linking

U2 - 10.1007/978-3-642-03761-0_36

DO - 10.1007/978-3-642-03761-0_36

M3 - Chapter

SN - 978-3-642-03760-3

T3 - Lecture Notes in Computer Science

SP - 354

EP - 365

BT - Advances in Focused Retrieval

PB - Springer

CY - Berlin, Heidelberg

T2 - 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008

Y2 - 15 December 2008 through 18 December 2008

ER -

Granitzer M, Seifert C, Zechner M. Context based wikipedia linking. In Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers. Berlin, Heidelberg: Springer. 2009. p. 354-365. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-03761-0_36

Context based wikipedia linking

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Keywords

Access to Document

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