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19 December 2002 Knowledge discovery in bibliographic collections using concept hierarchies and visualization tools. Application to the astronomy domain
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Josiane Mothe, Daniel Egret, Claude Chrisment, Karl-Hans Englmeier, Taoufiq Dkaki, and Soizick Lesteven "Knowledge discovery in bibliographic collections using concept hierarchies and visualization tools. Application to the astronomy domain", Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); https://doi.org/10.1117/12.460579
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