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- W2040893990 abstract "Data integration systems are used to integrate heterogeneous data sources in a single view. Recent work on business intelligence highlights the need of on-time, reliable and sound data access systems relying on methods based on semi-automatic procedures. A crucial factor for any semi-automatic algorithm is that of the matching strategy. Different categories of matching operators carry different semantics. For this reason, combining them into a single strategy is a non-trivial process that has to take into account a variety of options. This paper presents SAMS, a matching strategy based on a semantics-aware categorisation of matching operators that allows to group similar attributes on a semantically-rich form." @default.
- W2040893990 created "2016-06-24" @default.
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- W2040893990 date "2010-01-01" @default.
- W2040893990 modified "2023-09-26" @default.
- W2040893990 title "Semantics-aware matching strategy (SAMS) for the Ontology meDiated Data Integration (ODDI)" @default.
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- W2040893990 doi "https://doi.org/10.1504/ijkesdp.2010.030465" @default.
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