On the Road to Automatic Knowledge Engineering
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Machine Learning. Pages 628-631.
Abstract
The paper presents a scheme for categorizing knowledge engineering tools. The classification of knowledge acquisition systems has revealed some interesting facts about these systems. It seems that systems which are able to work on multiple tasks produce very shallow (i .e., not of expert-level) knowledge bases. On the other hand, systems which produce expert-level knowledge bases function on a single task. These insights have led to the design of ASKE, a knowledge acquisition system which can be used to build expert-level knowledge bases in several domains and for different task-types. The knowledge acquisition process is based on the notion of templates, the knowledge-bearing units of ASKE. Templates provide a convenient way of representing domain knowledge.
@inproceedings{ijcai1989p100,
title = {On the Road to Automatic Knowledge Engineering},
author = {Patel, Jitu},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {628--631},
year = {1989},
month = {8},
note = {Machine Learning},
url = {https://ijcai.org/proceedings/1989/100},
}
TY - CPAPER TI - On the Road to Automatic Knowledge Engineering AU - Patel, Jitu T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 628 EP - 631 UR - https://ijcai.org/proceedings/1989/100 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: