Towards Best Practice Standards for Enhanced Knowledge Discovery Systems

  • Assessing enhanced knowledge discovery systems (eKDSs) constitutes an intricate issue that is understood merely to a certain extent by now. Based upon an analysis of why it is difficult to formally evaluate eKDSs, it is argued for a change of perspective: eKDSs should be understood as intelligent tools for qualitative analysis that support, rather than substitute, the user in the exploration of the data; a qualitative gap will be identified as the main reason why the evaluation of enhanced knowledge discovery systems is difficult. In order to deal with this problem, the construction of a best practice model for eKDSs is advocated. Based on a brief recapitulation of similar work on spoken language dialogue systems, first steps towards achieving this goal are performed, and directions of future research are outlined.

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Metadaten
Author:Roland Stuckardt
URN:urn:nbn:de:hebis:30-12964
URL:ttp://www.lrec-conf.org/proceedings/lrec2004/ws/ws8.pdf
Document Type:Article
Language:English
Date of Publication (online):2005/07/27
Year of first Publication:2004
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2005/07/27
GND Keyword:Textanalyse ; Linguistische Datenverarbeitung; Computerlinguistik
Note:
Auszug von Proceedings-Paper Seite 24-28 http://www.lrec-conf.org/proceedings/lrec2004/ws/ws8.pdf
Note:
Publ. in Proc. LREC 2004 Workshop on User Oriented Evaluation of Knowledge Discovery Systems, Lisbon, May 2004, http://www.stuckardt.de/
HeBIS-PPN:400045184
Institutes:Informatik und Mathematik / Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoDeutsches Urheberrecht