ML Anthology

Knowledge Representation in the Large

Peter D. Karp, Suzanne M. Paley
IJCAI 1995 pp. 751-758
/ijcai/1995/karp1995ijcai-knowledge/

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. 1

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Text

Karp and Paley. "Knowledge Representation in the Large." International Joint Conference on Artificial Intelligence, 1995.

Markdown

[Karp and Paley. "Knowledge Representation in the Large." International Joint Conference on Artificial Intelligence, 1995.](https://mlanthology.org/ijcai/1995/karp1995ijcai-knowledge/)

BibTeX

@inproceedings{karp1995ijcai-knowledge,
  title     = {{Knowledge Representation in the Large}},
  author    = {Karp, Peter D. and Paley, Suzanne M.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1995},
  pages     = {751-758},
  url       = {https://mlanthology.org/ijcai/1995/karp1995ijcai-knowledge/}
}