SERIMI: Class-Based Matching for Instance Matching Across Heterogeneous Datasets

State-of-the-art instance matching approaches do not perform well when used for matching instances across heterogeneous datasets. This shortcoming derives from their core operation depending on direct matching, which involves a direct comparison of instances in the source with instances in the targe...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2015-05, Vol.27 (5), p.1397-1440
Hauptverfasser:	Araujo, Samur, Duc Thanh Tran, de Vries, Arjen P., Schwabe, Daniel
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation methods Benchmark testing Benchmarks Class-Based matching Complexity theory Data integration Data models Direct matching Filtering Filtration Instance matching Matching Resource description framework Semantic Web Semantics State of the art Tasks
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