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Open Problems

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Data Quality

Part of the book series: Data-Centric Systems and Applications ((DCSA))

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9.5 Conclusions

In this last chapter we outlined the future development of the data quality research area. In addition to what was presented in this book, in the next ten years there will probably be a widespread increase in contributions in the area, with new paradigms and approaches. Indeed, information is a “plastic” concept and resource, that can hardly be encapsulated into fixed models and techniques. We use textual information to write poetry, facial information to express emotions, musical information to compose or listen to operas. What does it mean that a note in a symphony is executed wrong? It is not easy to formalize this concept, and, probably, it is not useful, since a huge number of phenomena, luckily for us, have to be perceived, and will continue to be perceived, on the basis of our feelings and emotions.

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© 2006 Springer-Verlag Berlin Heidelberg

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(2006). Open Problems. In: Data Quality. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33173-5_9

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  • DOI: https://doi.org/10.1007/3-540-33173-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33172-8

  • Online ISBN: 978-3-540-33173-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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