This unit investigates on mathods for mining ontologies and any kind of knowledge base expressed in the standard representations for the Semantic Web
People
Papers
DBLP: Fanizzi, d'Amato
Tutorials
SWAP2007 - Bari [Part 1.] [Part 2.] [Part 3.]
Events
IRMLeS2009, IRMLeS2010, IRMLeS2011 - Heraklion, Greece
Data sets
Libraries
See also...
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Machine Learning and Data Mining systems for the standard representations in the context of the Semantic Web.
Systems and Applications
- KNN-ALC K-Nearest Neighbor classification algorithm applicable to individuals in ALC ontologies (two structural/semantic dissimilarity measures are exploited)
- KNN-DL K-Nearest Neighbor classification algorithm applicable to individuals in OWL-DL ontologies (a feature-driven semi-distance is exploited)
QHDDNN New release of the previous. Works on any query concept
- ALC-SVM Application of kernel methods (a Support Vector Machine) to individuals in ALC ontologies (a structural/semantic kernel for ALC is exploited)
- DL-SVM Application of kernel methods (a Support Vector Machine) to individuals in OWL-DL ontologies (a feature-driven kernel for OWL-DL is exploited)
- BAM Bisecting Around Medoids algorithm applied to OWL-DL ontologies exploiting the feature based semi-distance to obtain hierarchical clusterings
- Evo Custering DL Flat conceptual clustering algorithm. Both the semi-distance and optimal clustering is learned by means of evolutionary algorithms
- DL-Link A hierarchical conceptual clustering algorithm for ALC / ALE resources exploiting the notion of Good Common Subsumer
- DL-Foil Foil-like learner of DL concepts from assertions. Exploits incomplete refinement operators and an ad hoc gain measure
- ReduCE inducer of OWL classifiers based on a Reduced Coulomb Energy network model
- TermiTIS induction of terminological decision trees
- MoTo hybrid ontology matching system
- DL-Fuzzy Clustering a fuzzy clustering system for individuals in ontologies
- DL-KPRank an inductive ranking system for individuals in ontologies
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