Conference proceeding
Identifying Thematic Variations in SDSS research
JADT 2008 : actes des 9es Journées internationales d'Analyse statistique des Données Textuelles, (JADT 2008) / Proceedings of 9th International Conference on Textual Data statistical Analysis, pp.319-330
04 Mar 2008
Abstract
The Sloan Digital Sky Survey (SDSS) is the largest ongoing sky survey. It regularly makes data releases to the astronomical community. From a macroscopic point of view, a profound question is: what is the role of SDSS data releases in the evolution of the relevant scientific fields? In this paper, we introduce an integrated approach by combining statistical, information-theoretical, and symbolic methods for text data analysis and show how this combined approach can distinguish thematic variations associated with the different data releases.
Metrics
3 Record Views
Details
- Title
- Identifying Thematic Variations in SDSS research
- Creators
- Chaomei Chen - iSchool, University of Drexel, PhiladelphiaFidelia Ibekwe-Sanjuan - Equipe de recherche de Lyon en sciences de l'information et de la communicationEric Sanjuan - Laboratoire Informatique d'AvignonMichael Vogeley - Drexel University
- Publication Details
- JADT 2008 : actes des 9es Journées internationales d'Analyse statistique des Données Textuelles, (JADT 2008) / Proceedings of 9th International Conference on Textual Data statistical Analysis, pp.319-330
- Conference
- JADT 2008 : 9th International Conference on Textual Data statistical Analysis, 9th
- Publisher
- Presses Universitaires de Lyon
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics); Physics
- Identifiers
- 991019196776104721