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» Using and Learning Semantics in Frequent Subgraph Mining
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ACL
2008
15 years 3 months ago
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution
This paper studies textual inference by investigating comma structures, which are highly frequent elements whose major role in the extraction of semantic relations has not been hi...
Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Ra...
CORR
2010
Springer
170views Education» more  CORR 2010»
15 years 1 months ago
Rule-based Generation of Diff Evolution Mappings between Ontology Versions
Ontologies such as taxonomies, product catalogs or web directories are heavily used and hence evolve frequently to meet new requirements or to better reflect the current instance d...
Michael Hartung, Anika Gross, Erhard Rahm
133
Voted
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
15 years 8 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
125
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PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 8 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
CORR
2007
Springer
170views Education» more  CORR 2007»
15 years 1 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...