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Improving Schema Matching with Linked Data
[article]
2012
arXiv
pre-print
With today's public data sets containing billions of data items, more and more companies are looking to integrate external data with their traditional enterprise data to improve business intelligence analysis. These distributed data sources however exhibit heterogeneous data formats and terminologies and may contain noisy data. In this paper, we present a novel framework that enables business users to semi-automatically perform data integration on potentially noisy tabular data. This framework
arXiv:1205.2691v2
fatcat:lqjtwtvngnd3rebaeixfl647ai