| Authors: |
Diego Calvanese
and Giuseppe De Giacomo
and Domenico Lembo
and Maurizio Lenzerini
and Riccardo Rosati
|
| URL: |
http://www.mindswap.org/OWLWorkshop/sub13.pdf |
| Description: |
Core of the DL-Lite tractable fragment |
| Tags: |
complexity
owl
|
| Abstract: |
The idea of using ontologies as a conceptual view over data repositories
is becoming more and more popular. In these contexts, data are typically
very large (much larger than the intentional level of the ontologies), and query
answering becomes the basic reasoning services. In these contexts query answering
should be very efficient on the data, and currently the only technology that is
available to deal with large amounts of data is the one provided by relational data
management systems (RDBMS). In this paper we advocate that for such contexts
a suitable fragment of OWL-DL should be devised. Such a fragment must allow
forms of query answering that exploit RDBMS when reasoning on the data, while
it must include the main modeling features of conceptual models like UML class
diagrams and ER diagrams. In particular it must include cyclic assertions, ISA
on concepts, inverses of roles, role typing, mandatory participation to roles, and
functional restrictions on roles. Also the query language should go beyond the
expressive capabilities of concept expressions in description logics, and include
at least conjunctive queries (corresponding to the select-project-join fragment of
SQL). We discuss this issues by exhibiting a fragment of OWL-DL that includes
all such features, namely DL-Lite, and showing that such a fragment is essentially
maximal. |
@inproceedings{calvanese2005,
title = {Tailoring OWL for Data Intensive Ontologies},
author = {Diego Calvanese and Giuseppe De Giacomo and Domenico Lembo and Maurizio Lenzerini and Riccardo Rosati},
booktitle = {Proceedings of the OWL: Experiences and Directions Workshop, Galway, Ireland},
url = {http://www.mindswap.org/OWLWorkshop/sub13.pdf},
year = {2005},
description = {Core of the DL-Lite tractable fragment},
abstract = {The idea of using ontologies as a conceptual view over data repositories
is becoming more and more popular. In these contexts, data are typically
very large (much larger than the intentional level of the ontologies), and query
answering becomes the basic reasoning services. In these contexts query answering
should be very efficient on the data, and currently the only technology that is
available to deal with large amounts of data is the one provided by relational data
management systems (RDBMS). In this paper we advocate that for such contexts
a suitable fragment of OWL-DL should be devised. Such a fragment must allow
forms of query answering that exploit RDBMS when reasoning on the data, while
it must include the main modeling features of conceptual models like UML class
diagrams and ER diagrams. In particular it must include cyclic assertions, ISA
on concepts, inverses of roles, role typing, mandatory participation to roles, and
functional restrictions on roles. Also the query language should go beyond the
expressive capabilities of concept expressions in description logics, and include
at least conjunctive queries (corresponding to the select-project-join fragment of
SQL). We discuss this issues by exhibiting a fragment of OWL-DL that includes
all such features, namely DL-Lite, and showing that such a fragment is essentially
maximal.},
keywords = {complexity owl }
}
::