KDSL-DIPF Research Program
The KDSL-DIPF Research Program is a research program operated by DIPF that focuses on knowledge discovery in scientific literature systems.
- See: Chris Beimann.
References
2013
- http://www.kdsl.tu-darmstadt.de/de/knowledge-discovery-in-scientific-literature/research-program/
- The main topic of the PhD program is knowledge discovery in the vast amount of scientific literature ubiquitously available on the Web. This research employs methods of intelligent identification and analysis of structures in scientific texts on all scales, enabling completely new, previously unforeseen forms of access to scientific information.
The underlying data is represented by full texts of publications, including new forms of scientific publication in Web 2.0, together with their manifold networking via citations, authors and the linguistic and semantic knowledge extracted from the texts.
The goals of the PhD program require intensive research on data- und text-mining methods and their application to unstructured scientific information. The methods are for example applied to querying, indexing, discovering and preparing knowledge on the web. Implicit knowledge contained in scientific literature is thus tapped and rendered usable.
The research program “Knowledge Discovery in Scientific Literature” focuses on the educational research as the target domain. To this end, the German Institute for Educational Research and Educational Information (DIPF) offers excellent opportunities for close cooperation with the users of the developed innovative technology.
Example fields of research in the PhD program are:
- retrieval and networking of scientific literature on the web.
- semantic modeling and information extraction.
- automatic classification and linking of publications by topic or methods.
- personalized information processing.
- assessment of quality, impact, research reputation of publications, authors, and research groups.
- recognition and analysis of trends and interdisciplinary research connections
- The main topic of the PhD program is knowledge discovery in the vast amount of scientific literature ubiquitously available on the Web. This research employs methods of intelligent identification and analysis of structures in scientific texts on all scales, enabling completely new, previously unforeseen forms of access to scientific information.