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arxiv: 1707.08468 · v1 · pith:RCP4B4QOnew · submitted 2017-07-25 · 💻 cs.AI

A Decidable Very Expressive Description Logic for Databases (Extended Version)

classification 💻 cs.AI
keywords mathcallogicdescriptionabledecidablen-aryprojectionsrelations
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We introduce $\mathcal{DLR}^+$, an extension of the n-ary propositionally closed description logic $\mathcal{DLR}$ to deal with attribute-labelled tuples (generalising the positional notation), projections of relations, and global and local objectification of relations, able to express inclusion, functional, key, and external uniqueness dependencies. The logic is equipped with both TBox and ABox axioms. We show how a simple syntactic restriction on the appearance of projections sharing common attributes in a $\mathcal{DLR}^+$ knowledge base makes reasoning in the language decidable with the same computational complexity as $\mathcal{DLR}$. The obtained $\mathcal{DLR}^\pm$ n-ary description logic is able to encode more thoroughly conceptual data models such as EER, UML, and ORM.

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