Session coordinator: Jiří Kadleček, Albertina icome Praha s.r.o., Czech Republic
Where: 23. 5. 2007, 13.30 - 16.45, New Auditorium
Autor: C. Alan Golden, ProQuest CSA, United Kingdom
Introducing the most important and innovative indexing advancement in over 30 years, CSA Illustrata provides web-based access to indexed tables, figures, maps, graphs, charts and other images contained in scholarly articles.In 2005-2006 CSA developed a new "deep indexing" method to extract tables and figures from journal articles, index each table and figure, provide a retrieval method to locate tables and figures or complete articles that contain relevant figures or tables, and link them back to the article. This unique tool provides researchers precision, efficiency, and relevance in the data discovery process. Users can display the full image, including captions and label text which can be easily saved or imported and used for presentations, lectures or research. Each table and figure extracted from a journal article is assigned index terms as appropriate for the type of table or figure (photograph, histogram, map, etc.), subject indexing, geographic indexing, taxonomic indexing, statistical indexing, and other relevant data using an automated indexing system. All tables and figures in an article are fully indexed and can be searched separately. A ombined "enhanced abstract" display shows all of the tables and figures within a single article along with bibliographic, full indexing, and abstract for the article. These enhanced abstract articles can be linked to the electronic journals collection of a library. Tables and figures are displayed within the CSA deep indexing system as thumbnails, most of which can be displayed in an enlarged format.
Author: James Pringle, Thomson Scientific, United Kingdom
Author: Jiří Jelínek, University of Economics - Faculty of Management, Czech Republic
Co-authors:
Michal Hýsek, Jiří Lucký / University of Economics in PragueAuthor: Jacqui Gilchrist, ProQuest CSA, United Kingdom
Author: Gisela Hochgeladen, K.G. Saur Verlag, Germany
Author: Kai-Henning Gerlach, Bowker Office Berlin, Germany