Robert Kahlert

Papers on Acadedmia.edu

KRAKEN-Knowledge Rich Acquisition of Knowledge from Experts Who Are Non-Logicians

 Knowledge-Rich Acquisition of Knowledge from Experts Who Are Non-logicians (KRAKEN) was performed under DARPA's Rapid Knowledge Formation (RKF) Program. The KRAKEN system allows Subject Matter Experts (SMEs) to more easily, efficiently, and correctly enter their knowledge into an artificial intelligence knowledge-based system. KRAKEN's usefulness has been demonstrated in three challenge problems related to molecular biology, authoring of course-of-action (CA) critiquing rules, and terrain analysis. This report contains a description of KRAKEN, a Knowledge Entry system developed as part of the Rapid Knowledge Formation Project, funded by DARPA. In addition to describing the KRAKEN system as it exists today, this report also discusses the development of the system, its performance in three annual evaluations, the lessons learnt that are of general interest to the community of knowledge entry systems developers, and specific insights for future research. The following are goals... (MORE)

Toward a Knowledge Representation Corpus of Historical Events

 Research communities need a large corpus of representative, relevant and interesting problems to evaluate their proposed solutions; unfortunately the KR&R community lacks such a corpus. We therefore propose to construct a large corpus of knowledge representation and reasoning problems, drawing upon readily available historical realworld events for contents, in a highly expressive representation language such as (MORE)
 

Uniting a priori and a posteriori knowledge: A research framework =

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Tracking Quantity Fluctuations using STT

 by Robert Kahlert, Ben Rode, Alan Belasco, and Purvesh Shah
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Danto's Recipe for Clio: Leveraging Narrativist Insights for Modeling Historiography in Symbolic Knowledge Bases

 http://iji.cgpublisher.com
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Representational Reformulation in Hypothesis-Driven Recognition

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Importing decision tree rules into Cyc

 by Keith Goolsbey and Robert Kahlert
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Applying Cyc: Using the Knowledge-Based Data Monitor To Track Tests and Defects

 by Nick Siegel and Robert Kahlert
 (MORE) ... Bugzilla only supports assignment of a bug to one developer and one tester. ... Bugzilla provides little support for scheduling work – it does provide target milestones, but there is no direct support for associating work completion with specific dates. ... (MORE)
 

Tracking Quantity Fluctuations using STT

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Microtheories

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Cyc-Enhanced Machine Classification

 We describe a framework for linking together a structured ontology, deductive logic, and probability, to solve classification problems. We illustrate this framework with the Whodunit problem: identifying the perpetrator of a crime. Several experiments show that the use of Cyc's ontology and inference abilities substantially improves classification accuracy, both in decision tree classifiers and with Markov Logic Networks.
 

Ontologies: A Wish List for the Humanities

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 Proc. of CaSTA, 2006    

Converting Semantic Meta-knowledge into Inductive Bias

 by Robert Kahlert and John Cabral
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 Inductive Logic …, 2005    
   

Gathering and Managing Facts for Intelligence Analysis

 by Robert Kahlert, Douglas Lenat, John Cabral, Dave Schneider, and Purvesh Shah
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 Proceedings of the …, 2005    
 

Experimental Evaluation of Subject Matter Expert-oriented Knowledge Base Authoring Tools

 by Robert Kahlert and Michael Pool
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 NIST SPECIAL …, 2002
 

Representing Knowledge Gaps Effectively

 by Robert Kahlert, Corinne Mayans, Jon Curtis, and Alan Belasco
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 Practical Aspects of …, 2004
 

Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc

 by Robert Kahlert and Douglas Lenat
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 Proceedings of the AAAI …, 2005
 

Automated Population of Cyc: Extracting Information about Named-entities from the Web

 by Bjørn Aldag, Robert Kahlert, John Cabral, Dave Schneider, and Purvesh Shah
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 Proceedings of the …, 2006
 

Knowledge Formation and Dialogue Using the KRAKEN Toolset

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 PROCEEDINGS OF THE …, 2002
 

An Interactive Dialogue System for Knowledge Acquisition in Cyc

 by Robert Kahlert and Dave Schneider
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 Proceedings of the 18th …, 2003    
 

Searching for Common Sense: Populating Cyc from the Web

 by Robert Kahlert, Douglas Lenat, John Cabral, and Purvesh Shah
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 Proceedings of the …, 2005