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JMLR
2010
95views more  JMLR 2010»
14 years 8 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
SLE
2009
Springer
15 years 8 months ago
Ontological Metamodeling with Explicit Instantiation
Model Driven Engineering (MDE) is a promising paradigm for development. It raises the level of abstraction in software development by treating models as primary artifacts. The prac...
Alfons Laarman, Ivan Kurtev
ICDE
2006
IEEE
208views Database» more  ICDE 2006»
15 years 7 months ago
Integrating Databases into the Semantic Web through an Ontology-Based Framework
To realize the Semantic Web, it will be necessary to make existing database content available for emerging Semantic Web applications, such as web agents and services, which use on...
Dejing Dou, Paea LePendu, Shiwoong Kim, Peishen Qi
DAWAK
2006
Springer
15 years 5 months 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, ...
ENTCS
2007
109views more  ENTCS 2007»
15 years 1 months ago
Hybrid Logics and Ontology Languages
Description Logics (DLs) are a family of logic based knowledge representation formalisms. Although they have a range of applications, they are perhaps best known as the basis for ...
Ian Horrocks, Birte Glimm, Ulrike Sattler