DavidWhitten: Created page with "== Category:Person Robert KahlertCategory:Person Robert Kahlert == == Papers on Acadedmia.edu == === KRAKEN-Knowledge Rich Acquisition of Knowledge from Expe..."

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Created page with "== Category:Person Robert Kahlert Category:Person Robert Kahlert == == Papers on Acadedmia.edu == === KRAKEN-Knowledge Rich Acquisition of Knowledge from Expe..."

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== [[Category:Person Robert Kahlert]][[Category:Person]] [[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 problem]]s. 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 classifier]]s and with [[Markov Logic Network]]s.

=== 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

Robert Kahlert - Revision history

DavidWhitten: Created page with "== Category:Person Robert KahlertCategory:Person Robert Kahlert == == Papers on Acadedmia.edu == === KRAKEN-Knowledge Rich Acquisition of Knowledge from Expe..."