AUTINDEX

AUTINDEX is a commercial text mining software package based on sophisticated linguistics.[1][2][3]

AUTINDEX resulting from research in information extraction [4][5] is a product of the Institute of Applied Information Sciences (IAI) which is a non-profit institute that has been researching and developing language technology since its foundation in 1985. IAI is an institute affiliated to Saarland University in Saarbrücken, Germany.

AUTINDEX is the result of a number of research projects funded by the EU (Project BINDEX [6]), by Deutsche Forschungsgemeinschaft and the German Ministry for Economy. Amongst the latter there are the projects LinSearch [7] and WISSMER,[8] see also the reference to IAI-Webite.[9]

The basic functionality of AUTINDEX is the extraction of key words from a document to represent the semantics of the document.[10] Ideally the system is integrated with a thesaurus that defines the standardised terms to be used for key word assignment.
AUTINDEX is used in library applications (e.g. integrated in dandelon.com) as well as in high quality (expert) information systems [11] and in document management and content management environments.

Together with AUTINDEX a number of additional software comes along such as an integration with Apache Solr / Lucene to provide a complete information retrieval environment, a classification and categorisation system on the basis of a machine learning [12] software that assigns domains to the document, and a system for searching with semantically similar terms that are collected in so called tag clouds.[13]

See also

References

  1. ↑ Ripplinger, Bärbel 2001: Das Indexierungssystem AUTINDEX, in GLDV Tagung, Giessen
  2. ↑ Paul Schmidt, Mahmoud Gindiyeh & Gintare Grigonyte, 2009: Language Technology for Information Systems. In: Proceedings of KDIR - The International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Madeira, 6–8 October 2009, Portugal
  3. ↑ Paul Schmidt & Mahmoud Gindiyeh, 2009: Language Technology for Multilingual Information and Document Management. In: Proceedings of ASLIB, London, 19–20 November
  4. ↑ Paul Schmidt, Thomas Bähr & Dr.-Ing. Jens Biesterfeld &Thomas Risse & Kerstin Denecke & Claudiu Firan, 2008: LINSearch. Aufbereitung von Fachwissen für die gezielte Informationsversorgung. In: Proceedings of Knowtech, Frankfurt
  5. ↑ Ursula Deriu, Jörn Lehmann & Paul Schmidt, 2009: ‚Erstellung einer Technik-Ontologie auf der Basis ausgefeilter Sprachtechnologie’. In: Proceedings Knowtech, Frankfurt
  6. ↑ . Dieter Maas, Nuebel Rita, Catherine Pease, Paul Schmidt: Bilingual Indexing for Information Retrieval with AUTINDEX. LREC 2002.
  7. ↑ . Project LinSearch. P. 32.
  8. ↑ . Project Wissmer.
  9. ↑ . Wissmer-Project on IAI-Site.
  10. ↑ Paul Schmidt, Mahmoud Gindiyeh, Gintare Grigonyte: Language Technology for Information Systems. In: Proceedings of KDIR – The International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Madeira. 6.–8. Oktober 2009, Portugal. 2009, S. 259 - 262.
  11. ↑ . WTI Information system.
  12. ↑ Mahmoud Gindiyeh: Anwendung wahrscheinlichkeitstheoretischer Methoden in der linguistischen Informationsverarbeitung, Logos Verlag, Berlin, 2013.
  13. ↑ . Electro mobility information system.

Publications

External links

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