---
title: "Knowledge Representation in the Large"
authors:
  - "Peter D. Karp"
  - "Suzanne M. Paley"
doi: ""
url: "https://ijcai.org/proceedings/1995/98"
pdf: "https://ijcai.org/proceedings/1995/0098.pdf"
venue: "Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence"
year: 1995
pages: "751-757"
track: "Knowledge Base Technology"
keywords:
---

# Knowledge Representation in the Large

Peter D. Karp, Suzanne M. Paley

*Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence*, pages 751-757.

## Abstract

Frame knowledge representation systems lack two important capabilities that prevent them from scaling up to large applications: they do not support fast access to large knowledge bases (KBs), nor do they provide concurrent multiuser access to shared KBs. We describe the design and implementation of a storage subsystem that submerges a database management system (DBMS) within a knowledge representation system. The storage subsystem incrementally loads referenced frames from the DBMS , and can save to the DBMS only those frames that have been updated in a given session. We present experimental results that show our approach to be an improvement over the use of flat files , and that evaluate several variations of our approach .