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ECAI
2000
Springer
13 years 10 months ago
Explaining ALC Subsumption
Knowledge representation systems, including ones based on Description Logics (DLs), use explanation facilities to, among others, debug knowledge bases. Until now, such facilities w...
Alexander Borgida, Enrico Franconi, Ian Horrocks
ECTEL
2007
Springer
14 years 16 days ago
Building Domain Ontologies from Text for Educational Purposes
—This paper presents a semiautomatic framework that aims to produce domain concept maps from text and then to derive domain ontologies from these concept maps. This methodology p...
Amal Zouaq, Roger Nkambou, Claude Frasson
AIED
2005
Springer
13 years 12 months ago
The Effect of Explaining on Learning: a Case Study with a Data Normalization Tutor
: Several studies have shown that explaining actions increases students’ knowledge. In this paper, we discuss how NORMIT supports self-explanation. NORMIT is a constraint-based t...
Antonija Mitrovic
ICTAI
2007
IEEE
14 years 20 days ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
IJCSA
2008
104views more  IJCSA 2008»
13 years 5 months ago
Artificial Intelligence and Bluetooth Techniques in a Multi-user M-learning Domain
In this paper we present a practical implementation of a multiuser technical laboratory that combines Artificial Intelligence (AI) and Bluetooth (BT) techniques. The objective is ...
Bonifacio Castaño, Angel Moreno, Melquiades...