Consensus Knowledge Acquisition
We have developed a method and prototype program for assisting two experts in their attempts to construct a single, consensus knowledge base. We show that consensus building can be effectively facilitated by a debugging approach that identifies, explains, and resolves discrepancies in their k...
Main Authors: | , |
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Language: | en_US |
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2004
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Online Access: | http://hdl.handle.net/1721.1/6009 |
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author | Trice, Andrew Davis, Randall |
author_facet | Trice, Andrew Davis, Randall |
author_sort | Trice, Andrew |
collection | MIT |
description | We have developed a method and prototype program for assisting two experts in their attempts to construct a single, consensus knowledge base. We show that consensus building can be effectively facilitated by a debugging approach that identifies, explains, and resolves discrepancies in their knowledge. To implement this approach we identify and use recognition and repair procedures for a variety of discrepancies. Examples of this knowledge are illustrated\\ with sample transcripts from CARTER, a system for reconciling two rule-based systems. Implications for resolving other kinds of knowledge representations are also examined. |
first_indexed | 2024-09-23T10:10:58Z |
id | mit-1721.1/6009 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T10:10:58Z |
publishDate | 2004 |
record_format | dspace |
spelling | mit-1721.1/60092019-04-10T16:54:57Z Consensus Knowledge Acquisition Trice, Andrew Davis, Randall We have developed a method and prototype program for assisting two experts in their attempts to construct a single, consensus knowledge base. We show that consensus building can be effectively facilitated by a debugging approach that identifies, explains, and resolves discrepancies in their knowledge. To implement this approach we identify and use recognition and repair procedures for a variety of discrepancies. Examples of this knowledge are illustrated\\ with sample transcripts from CARTER, a system for reconciling two rule-based systems. Implications for resolving other kinds of knowledge representations are also examined. 2004-10-04T14:35:45Z 2004-10-04T14:35:45Z 1989-12-01 AIM-1183 http://hdl.handle.net/1721.1/6009 en_US AIM-1183 25 p. 4301937 bytes 3447042 bytes application/postscript application/pdf application/postscript application/pdf |
spellingShingle | Trice, Andrew Davis, Randall Consensus Knowledge Acquisition |
title | Consensus Knowledge Acquisition |
title_full | Consensus Knowledge Acquisition |
title_fullStr | Consensus Knowledge Acquisition |
title_full_unstemmed | Consensus Knowledge Acquisition |
title_short | Consensus Knowledge Acquisition |
title_sort | consensus knowledge acquisition |
url | http://hdl.handle.net/1721.1/6009 |
work_keys_str_mv | AT triceandrew consensusknowledgeacquisition AT davisrandall consensusknowledgeacquisition |