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» Named graphs, provenance and trust
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TSI
2008
129views more  TSI 2008»
13 years 4 months ago
COSMOS, composition de noeuds de contexte
Ubiquitous applications are facing a large diversity of execution contexts. However, this diversity requires some continual adaptation to preserve the correct execution of these ap...
Denis Conan, Romain Rouvoy, Lionel Seinturier
ESWS
2005
Springer
13 years 10 months ago
Web Explanations for Semantic Heterogeneity Discovery
Managing semantic heterogeneity is a complex task. One solution involves matching like terms to each other. We view Match as an operator that takes two graph-like structures (e.g....
Pavel Shvaiko, Fausto Giunchiglia, Paulo Pinheiro ...
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
13 years 11 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
ICAIL
2007
ACM
13 years 8 months ago
The Legal-RDF Ontology. A Generic Model for Legal Documents
Legal-RDF.org1 publishes a practical ontology that models both the layout and content of a document and metadata about the document; these have been built using data models implici...
John McClure