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» Reasoning about Knowledge Using Rough Sets
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AAAI
2007
14 years 12 days ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
SIVP
2008
127views more  SIVP 2008»
13 years 10 months ago
Image indexing and retrieval using expressive fuzzy description logics
Abstract The effective management and exploitation of multimedia documents requires the extraction of the underlying semantics. Multimedia analysis algorithms can produce fairly ri...
Nikos Simou, Thanos Athanasiadis, Giorgos Stoilos,...
SEMWEB
2005
Springer
14 years 3 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
LPNMR
2011
Springer
13 years 28 days ago
Communicating ASP and the Polynomial Hierarchy
Communicating answer set programming is a framework to represent and reason about the combined knowledge of multiple agents using the idea of stable models. The semantics and expre...
Kim Bauters, Steven Schockaert, Dirk Vermeir, Mart...
GEOS
2007
Springer
14 years 4 months ago
Applying Spatial Reasoning to Topographical Data with a Grounded Geographical Ontology
Abstract. Grounding an ontology upon geographical data has been proposed as a method of handling the vagueness in the domain more effectively. In order to do this, we require meth...
David Mallenby, Brandon Bennett