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LPAR
1999
Springer
13 years 12 months ago
Practical Reasoning for Expressive Description Logics
Abstract. Description Logics (DLs) are a family of knowledge representation formalisms mainly characterised by constructors to build complex concepts and roles from atomic ones. Ex...
Ian Horrocks, Ulrike Sattler, Stephan Tobies
AAAI
1993
13 years 9 months ago
Reasoning With Characteristic Models
Formal AI systems traditionally represent knowledge using logical formulas. We will show, however, that for certain kinds of information, a modelbased representation is more compa...
Henry A. Kautz, Michael J. Kearns, Bart Selman
ILP
2007
Springer
14 years 1 months ago
Learning with Kernels and Logical Representations
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Paolo Frasconi
IEAAIE
1995
Springer
13 years 11 months ago
Modelling Hybrid Rule/Frame-Based Expert Systems Using Coloured Petri Nets
High level Petri Nets have recently been used for many AI applications, particularly for modelling traditional rule-based expert systems. The major effect is to facilitate the ana...
Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung
MIE
2008
174views Healthcare» more  MIE 2008»
13 years 9 months ago
Semantic Web Ontology Utilization for Heart Failure Expert System Design
In this work we present the usage of semantic web knowledge representation formalism (OWL) in combination with general purpose reasoning for building a medical expert system. The a...
Marin Prcela, Dragan Gamberger, Alan Jovic