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- W1572307130 abstract "Data issues have taken on increasing importance in recent years. In our research, we have discovered that many quality problems are actually misinterpretation problems - that is, problems with data semantics. In this paper, we first illustrate some examples of these problems and then introduce a particular semantic problem that we call corporate householding. We stress the importance of context to get the appropriate answer for each task. Then we propose an approach to handle these tasks using extensions to the COntext INterchange (COIN) technology for knowledge storage and knowledge processing." @default.
- W1572307130 created "2016-06-24" @default.
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- W1572307130 date "2003-01-01" @default.
- W1572307130 modified "2023-10-14" @default.
- W1572307130 title "Oh, So That is What you Meant! The Interplay of Data Quality and Data Semantics" @default.
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- W1572307130 doi "https://doi.org/10.2139/ssrn.436805" @default.
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