Abstract
This paper deals with the querying of databases containing ill-known attribute values represented by possibility distributions. It investigates a query language with two operators: selection and a foreign key join operator which allows to express queries involving several relations at a time. The key idea is to impose a strong connection between the relations resulting from the operators and their interpretation in terms of more or less possible worlds. From a computational point of view, an interesting property of the queries considered is that they can be evaluated in a “compact” way, i.e., they do not require explicit handling of the possible worlds attached to the possibilistic database.
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References
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© 2002 Springer-Verlag Berlin Heidelberg
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Bosc, P., Pivert, O. (2002). Mixing Selections and Foreign Key Joins in Queries against Possibilistic Databases. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_23
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DOI: https://doi.org/10.1007/3-540-48050-1_23
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