The Stanford KSL Knowledge Base Merging Critical Component Experiment

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Citation: Richard Fikes and James Rice. (1999) The Stanford KSL Knowledge Base Merging Critical Component Experiment. In KSL-99-17, October,1999.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Richard Fikes and James Rice
title The Stanford KSL Knowledge Base Merging Critical Component Experiment
number KSL-99-17
institution Knowledge Systems, AI Laboratory
address Stanford, CA, USA
year 1999
month October
Bibtex more
Access Paper
abstract Large-scale knowledge bases (KBs) are an essential enabling component of the next generation of intelligent systems. The high cost of producing KBs has motivated the development of technology and methods for generating reusable KB modules by multiple authors, maintaining those modules in knowledge libraries, and producing KBs for specific applications by assembling and extending modules from those libraries. This methodology for building KBs requires that KB modules produced by independent authors containing overlapping content using differing representations and vocabularies be reconciled (i.e., "merged") so that those modules can be used as compatible KB building blocks. Although KB merging can be arbitrarily difficult, software tools can provide substantial help with major steps in the process. In this paper, we present experimental results showing the benefits of using Chimæra, a new software tool designed to aid with the merging of taxonomies, which is a substantial portion of the overall KB merging process. The experimental evidence we cite shows that Chimaera is a significant improvement over general-purpose KB editing tools and text editing tools.

KSL Technical Report ID: KSL-99-17
Facts about The Stanford KSL Knowledge Base Merging Critical Component ExperimentRDF feed
Abstract Large-scale knowledge bases (KBs) are an e … Large-scale knowledge bases (KBs) are an essential enabling component of the next generation of intelligent systems. The high cost of producing KBs has motivated the development of technology and methods for generating reusable KB modules by multiple authors, maintaining those modules in knowledge libraries, and producing KBs for specific applications by assembling and extending modules from those libraries. This methodology for building KBs requires that KB modules produced by independent authors containing overlapping content using differing representations and vocabularies be reconciled (i.e., "merged") so that those modules can be used as compatible KB building blocks. Although KB merging can be arbitrarily difficult, software tools can provide substantial help with major steps in the process. In this paper, we present experimental results showing the benefits of using Chimæra, a new software tool designed to aid with the merging of taxonomies, which is a substantial portion of the overall KB merging process. The experimental evidence we cite shows that Chimaera is a significant improvement over general-purpose KB editing tools and text editing tools. e KB editing tools and text editing tools.
Address Stanford, CA, USA  +
Author Richard Fikes and James Rice  +
Bibtype techreport  +
Has author Richard Fikes and James Rice  +
Has identifier KSL-99-17  +
Has publishing details October,1999  +
Has title The Stanford KSL Knowledge Base Merging Critical Component Experiment  +
Has where published KSL-99-17  +
Has year 1999  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-99-17  +
Month October  +
Number KSL-99-17  +
Process note NO  +
Title The Stanford KSL Knowledge Base Merging Critical Component Experiment  +
Year 1999  +
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