Imperfect Data in Database Context. How are they Stored in Extended Relational Databases?
Résumé
Building a more accurate reality model requires taking into account imperfect
information present in our knowledge and language. This paper presents several aspects of
data imperfection in the database context and the appropriate frameworks for their
treatment. It’s concluding that null value, possibility distribution and probability theory are
the best solutions to represent incomplete, imprecise and uncertain data. For each of these
problems there are some relational model extension proposals, including data
representation and relational algebra.