| Original language | English |
|---|---|
| Title of host publication | KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, PROCEEDINGS |
| Pages | 403-418 |
| Volume | 1937 |
| Publication status | Published - 2000 |
Publication series
| Name | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE |
|---|
Cite this
Groot, P., Van Harmelen, F., & ten Teije, A. (2000). Torture tests: A quantitative analysis for the robustness of knowledge-based systems. In KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, PROCEEDINGS (Vol. 1937, pp. 403-418). (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE).
@inbook{48232687b6044cb498dc7e46b4054a96,
title = "Torture tests: A quantitative analysis for the robustness of knowledge-based systems",
author = "P Groot and {Van Harmelen}, F and {ten Teije}, Annette",
year = "2000",
language = "English",
isbn = "3-540-41119-4",
volume = "1937",
series = "LECTURE NOTES IN ARTIFICIAL INTELLIGENCE",
pages = "403--418",
booktitle = "KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, PROCEEDINGS",
}
Groot, P, Van Harmelen, F & ten Teije, A 2000, Torture tests: A quantitative analysis for the robustness of knowledge-based systems. in KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, PROCEEDINGS. vol. 1937, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, pp. 403-418.
Torture tests: A quantitative analysis for the robustness of knowledge-based systems. / Groot, P; Van Harmelen, F; ten Teije, Annette.
KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, PROCEEDINGS. Vol. 1937 2000. p. 403-418 (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE).Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review
TY - CHAP
T1 - Torture tests: A quantitative analysis for the robustness of knowledge-based systems
AU - Groot, P
AU - Van Harmelen, F
AU - ten Teije, Annette
PY - 2000
Y1 - 2000
M3 - Chapter
SN - 3-540-41119-4
VL - 1937
T3 - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
SP - 403
EP - 418
BT - KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, PROCEEDINGS
ER -
Groot P, Van Harmelen F, ten Teije A. Torture tests: A quantitative analysis for the robustness of knowledge-based systems. In KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, PROCEEDINGS. Vol. 1937. 2000. p. 403-418. (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE).