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.
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: | Universitätsbibliothek 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): | ![]() |