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Author, Editor

Author(s):

Bast, Holger
Dupret, Georges
Majumdar, Debapriyo
Piwowarski, Benjamin

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Not MPG Author(s):

Dupret, Georges
Piwowarski, Benjamin

Editor(s):

Ackermann, Markus
Berendt, Bettina
Grobelnik, Marko
Hotho, Andreas
Mladenic, Dunja
Semeraro, Giovanni
Spiliopoulou, Myra
Stumme, Gerd
Svatek, Vojtech
van Someren, Maarten W.

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Not MPII Editor(s):

Ackermann, Markus
Berendt, Bettina
Grobelnik, Marko
Hotho, Andreas
Mladenic, Dunja
Semeraro, Giovanni
Spiliopoulou, Myra
Stumme, Gerd
Svatek, Vojtech
van Someren, Maarten W.

BibTeX cite key*:

BastDMP06

Title, Booktitle

Title*:

Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis

Booktitle*:

Semantics, web and mining : Joint International Workshops, EWMF 2005 and KDO 2005

Event, URLs

URL of the conference:


URL for downloading the paper:

http://www.springerlink.com/content/y3111k29gk641w7q/fulltext.pdf

Event Address*:

Porto, Portugal

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

3 October 2005

Event End Date:

7 October 2005

Publisher

Name*:

Springer

URL:


Address*:

Berlin, Germany

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

4289

Number:


Month:


Pages:

103-120

Year*:

2006

VG Wort Pages:


ISBN/ISSN:

978-3-540-47697-9; 3-540-47697-0

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

We show that eigenvector decomposition can be used to extract a term taxonomy from a given collection of text documents. So far, methods based on eigenvector decomposition, such as latent semantic indexing (LSI) or principal component analysis (PCA), were only known to be useful for extracting symmetric relations between terms. We give a precise mathematical criterion for distinguishing between four kinds of relations of a given pair of terms of a given collection: unrelated (car - fruit), symmetrically related (car - automobile), asymmetrically related with the first term being more specific than the second (banana - fruit), and asymmetrically related in the other direction (fruit - banana). We give theoretical evidence for the soundness of our criterion, by showing that in a simplified mathematical model the criterion does the apparently right thing. We applied our scheme to the reconstruction of a selected part of the open directory project (ODP) hierarchy, with promising results.

URL for the Abstract:

http://www.springerlink.com/content/y3111k29gk641w7q/



Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Algorithms and Complexity Group

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{BastDMP06,
AUTHOR = {Bast, Holger and Dupret, Georges and Majumdar, Debapriyo and Piwowarski, Benjamin},
EDITOR = {Ackermann, Markus and Berendt, Bettina and Grobelnik, Marko and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and Svatek, Vojtech and van Someren, Maarten W.},
TITLE = {Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis},
BOOKTITLE = {Semantics, web and mining : Joint International Workshops, EWMF 2005 and KDO 2005},
PUBLISHER = {Springer},
YEAR = {2006},
VOLUME = {4289},
PAGES = {103--120},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Porto, Portugal},
ISBN = {978-3-540-47697-9},
; ISBN = {3-540-47697-0},
}


Entry last modified by Christine Kiesel, 03/17/2007
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Editor(s)
Holger Bast
Created
09/15/2006 10:53:42 PM
Revisions
3.
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Editor(s)
Christine Kiesel
Christine Kiesel
Holger Bast
Holger Bast
Edit Dates
17.03.2007 00:53:35
17.03.2007 00:35:26
09/15/2006 10:54:43 PM
09/15/2006 10:53:43 PM
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