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Proceedings Paper

Knowledge discovery in bibliographic collections using concept hierarchies and visualization tools: application to the astronomy domain
Author(s): Josiane Mothe; Daniel Egret; Claude Chrisment; Karl-Hans Englmeier; Taoufiq Dkaki; Soizick Lesteven
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Paper Abstract

This paper presents new methods for knowledge extraction and visualization, applied to datasets selected from the astronomical literature. One of the objectives is to detect correlations between concepts extracted from the documents. Concepts are generally meta-information which may be defined a priori, or may be extracted from the document contents and are organised along domain ontologies or concept hierarchies. The study illustrated in the paper uses a data collection of about 10,000 articles extracted from the NASA ADS, corresponding to all publications for which at least one author is a French astronomer, for the years 1996 to 2000. The study presents new approaches for visualizing relationships between institutes, co-authorships, scientific domains, astronomical object types, etc.

Paper Details

Date Published: 19 December 2002
PDF: 8 pages
Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); doi: 10.1117/12.460579
Show Author Affiliations
Josiane Mothe, Institut de Recherche en Informatique de Toulouse/IUFM (France)
Daniel Egret, Ctr. de Donnees Astronomique de Strasbourg (France)
Claude Chrisment, Institut de Recherche en Informatique de Toulouse/UPS (France)
Karl-Hans Englmeier, Deutsches Institut fuer Wirtschaftsforschung (Germany)
Taoufiq Dkaki, Univ. Robert Schuman (France)
Soizick Lesteven, Observatoire Astronomique (France)

Published in SPIE Proceedings Vol. 4847:
Astronomical Data Analysis II
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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