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Cited by 1,330

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Enabling technology for knowledge sharing

Robert T. Neches, Richard E. Fikes, Tim Finin, Tom Gruber, Ramesh S. Patil, Ted E. Senator, William Swartout·1991·AI Magazine

Abstract

Building new knowledge-based systems today usually entails constructing new knowledge bases from scratch. It could instead be done by assembling reusable components. System developers would then only need to worry about creating the specialized knowledge and reasoners new to the specific task of their system. This new system would interoperate with existing systems, using them to perform some of its reasoning. In this way, declarative knowledge, problem- solving techniques, and reasoning services could all be shared among systems. This approach would facilitate building bigger and better systems cheaply. The infrastructure to support such sharing and reuse would lead to greater ubiquity of these systems, potentially transforming the knowledge industry. This article presents a vision of the future in which knowledge-based system development and operation is facilitated by infrastructure and technology for knowledge sharing. It describes an initiative currently under way to develop these ideas and suggests steps that must be taken in the future to try to realize this vision.

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Metadata

Authors
Neches, R. T., Fikes, R. E., Finin, T., Gruber, T., Patil, R. S., Senator, T. E., & Swartout, W.
Venue
AI Magazine
Publisher
Association for the Advancement of Artificial Intelligence
Published
1991-09-01
Volume
12
Issue
3
Pages
36-56
ISSN
0738-4602 (ISSN-L)
OpenAlex
W1524870477
Cited by
1,330
References
0
FWCI
41.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enabling technology for knowledge sharing. https://app.cochat.ai/papers/10.1609/aimag.v12i3.902
The paper
Neches, R. T., Fikes, R. E., Finin, T., Gruber, T., Patil, R. S., Senator, T. E., & Swartout, W. (1991). Enabling technology for knowledge sharing. AI Magazine. https://doi.org/10.1609/aimag.v12i3.902

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.