Data Quality pp 221-235 | Cite as

Open Problems

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

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.


Query Processing Record Linkage Electronic Data Interchange Data Integration System Data Quality Dimension 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2006

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