Algorithms for inferring functional dependencies from relations
Data & Knowledge Engineering
Ontology Matching
Automatically generating data linkages using a domain-independent candidate selection approach
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Detecting Abnormal Semantic Web Data Using Semantic Dependency
ICSC '11 Proceedings of the 2011 IEEE Fifth International Conference on Semantic Computing
KD2R: a key discovery method for semantic reference reconciliation
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
Data Linking for the Semantic Web
International Journal on Semantic Web & Information Systems
Discovering keys in RDF/OWL dataset with KD2R
Proceedings of the 2nd International Workshop on Open Data
An automatic key discovery approach for data linking
Web Semantics: Science, Services and Agents on the World Wide Web
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This paper introduces a method for analyzing web datasets based on key dependencies. The classical notion of a key in relational databases is adapted to RDF datasets. In order to better deal with web data of variable quality, the definition of a pseudo-key is presented. An RDF vocabulary for representing keys is also provided. An algorithm to discover keys and pseudo-keys is described. Experimental results show that even for a big dataset such as DBpedia, the runtime of the algorithm is still reasonable. Two applications are further discussed: (i) detection of errors in RDF datasets, and (ii) datasets interlinking.