Exploiting Background Knowledge in Automated Discovery (1996)
| Venue: | In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining |
| Citations: | 20 - 8 self |
BibTeX
@INPROCEEDINGS{Aronis96exploitingbackground,
author = {John M. Aronis and Foster J. Provost and Bruce G. Buchanan},
title = {Exploiting Background Knowledge in Automated Discovery},
booktitle = {In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining},
year = {1996},
pages = {355--358},
publisher = {AAAI Press}
}
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Abstract
Prior work in automated scientific discovery has been successful in finding patterns in data, given that a reasonably small set of mostly relevant features is specified. The work described in this paper places data in the context of large bodies of background knowledge. Specifically, data items are connected to multiple databases of background knowledge represented as inheritance networks. The system has made a practical impact on botanical toxicology research, which required linking examples of cases of plant exposures to databases of botanical, geographical, and climate background knowledge.
Citations
| 129 | NETL: A System for Representing and Using Real World Knowledge - Fahlman - 1979 |
| 49 | RL4: A tool for knowledge-based induction - Clearwater, Provost - 1990 |
| 5 | Jimsonweed (datura stramonium) poisoning and abuse .. an analysis of 1,458 cases - Krenzelok, Jacobsen - 1995 |
| 2 | Poinsettia (Euphorbia pulcherrima) Exposures Have Good Outcomes . . .Just As We Thought - Krenzelok, Provost, et al. - 1995 |
| 1 | Mistletoe Exposures - Krenzelok, Jacobsen, et al. - 1995 |
