A Case Study of Knowledge Representation in UC
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 388-389.
Abstract
The knowledge representation used in UC provides a ftexible framework suitable for a large variety of natural language processing tasks including parsing, inference, planning, goal analysis, and generation. Although many of the knowledge structures are specific to the UNIX Consultant domain, a common design goal is the use of associative processing. By providing direct links between related knowledge structures, inference and other processing can be done very efficiently . Access to representations in UC is by hash indexing which simulates a real associative memory.
@inproceedings{ijcai1983p93,
title = {A Case Study of Knowledge Representation in UC},
author = {Chin, David N.},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {388--389},
year = {1983},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1983/93},
}
TY - CPAPER TI - A Case Study of Knowledge Representation in UC AU - Chin, David N. T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 388 EP - 389 UR - https://ijcai.org/proceedings/1983/93 ER -Copied
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