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» Hybrid Learning of Ontology Classes
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KI
2007
Springer
13 years 8 months ago
Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture
Various forms of reasoning, the profusion of knowledge, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data input, and the ma...
Kai-Uwe Kühnberger, Tonio Wandmacher, Angela ...
ECML
2007
Springer
14 years 2 months ago
Using Text Mining and Link Analysis for Software Mining
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
Miha Grcar, Marko Grobelnik, Dunja Mladenic
DAWAK
2006
Springer
14 years 3 days ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
ICOODB
2009
94views Database» more  ICOODB 2009»
13 years 6 months ago
Metamodelling with Datalog and Classes: ConceptBase at the Age of 21
ConceptBase is a deductive object-oriented database system intended for the management of metadata. A distinguishing feature of the Telos language underlying ConceptBase is the abi...
Matthias Jarke, Manfred A. Jeusfeld, Hans W. Nisse...
IEEECIT
2009
IEEE
14 years 3 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi