---
title: "A Case Study of Knowledge Representation in UC"
authors:
  - "David N. Chin"
doi: ""
url: "https://ijcai.org/proceedings/1983/93"
pdf: "https://ijcai.org/proceedings/1983/0093.pdf"
venue: "Proceedings of the Eighth International Joint Conference on Artificial Intelligence"
year: 1983
pages: "388-389"
track: "Knowledge Representation"
keywords:
---

# A Case Study of Knowledge Representation in UC

David N. Chin

*Proceedings of the Eighth International Joint Conference on Artificial Intelligence*, 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.