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KCAP
2005
ACM
14 years 1 months ago
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
Peter Z. Yeh, Bruce W. Porter, Ken Barker
AAAI
1997
13 years 9 months ago
Building Concept Representations from Reusable Components
Our goal is to build knowledge-based systems capable of answering a wide variety of questions, including questions that are unanticipated when the knowledge base is built. For sys...
Peter Clark, Bruce W. Porter
NGC
2010
Springer
183views Communications» more  NGC 2010»
13 years 2 months ago
Brain-like Computing Based on Distributed Representations and Neurodynamics
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...
Ken Yamane, Masahiko Morita
ESWS
2007
Springer
14 years 1 months ago
A Reasoning Framework for Rule-Based WSML
WSML is an ontology language specifically tailored to annotate Web Services, and part of its semantics adheres to the rule-based knowledge representation paradigm of logic program...
Stephan Grimm, Uwe Keller, Holger Lausen, Gá...
SEMWEB
2005
Springer
14 years 1 months ago
Decentralized Case-Based Reasoning for the Semantic Web
Abstract. Decentralized case-based reasoning (DzCBR) is a reasoning framework that addresses the problem of adaptive reasoning in a multi-ontology environment. It is a case-based r...
Mathieu d'Aquin, Jean Lieber, Amedeo Napoli