New methods to access scientific content

Issue title: APE 2008 Academic Publishing in Europe, Quality and Publishing

Guest editors: Arnoud de Kemp

Article type: Research Article

Authors: Geißler, Stefan

Affiliations: TEMIS Deutschland GmbH, Kurfürstenanlage 3, D-69115 Heidelberg, Germany. E-mail: stefan.geissler@temis.com

Abstract: The availability of systems capable to perform accurate and large-scale analysis and indexing of scientific content has a profound effect on the scientific publishing sector. Many scenarios about the extension of existing products or the definition of new ones that would have otherwise resulted in significant or even prohibitive costs, now become feasible. The present paper introduces several case studies of the application of methods of Text Mining in the scientific publishing sector and outlines the motivation and additional benefits that arise from such approaches.

Keywords: Text Mining, information extraction, automatic indexing

DOI: 10.3233/ISU-2008-0563

Journal: Information Services & Use, vol. 28, no. 2, pp. 141-146, 2008