English

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

Artificial Intelligence 2017-07-27 v1

Abstract

We introduce DLR+\mathcal{DLR}^+, an extension of the n-ary propositionally closed description logic DLR\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 DLR+\mathcal{DLR}^+ knowledge base makes reasoning in the language decidable with the same computational complexity as DLR\mathcal{DLR}. The obtained DLR±\mathcal{DLR}^\pm n-ary description logic is able to encode more thoroughly conceptual data models such as EER, UML, and ORM.

Keywords

Cite

@article{arxiv.1707.08468,
  title  = {A Decidable Very Expressive Description Logic for Databases (Extended Version)},
  author = {Alessandro Artale and Enrico Franconi and Rafael Peñaloza and Francesco Sportelli},
  journal= {arXiv preprint arXiv:1707.08468},
  year   = {2017}
}

Comments

20 pages. Extended version of paper appearing in the International Semantic Web Conference (ISWC 2017). arXiv admin note: text overlap with arXiv:1604.00799