References in periodicals archive ?
The DLs of the DL-Lite family, including DL-LiteA, combined with specific languages for mapping the specification previously mentioned, have been designed so as to enjoy the first-order rewritability (FO-rewritability) property: given a UCQ q and an OBDM specification J = <OSM>, it is possible to compile q, O, and M into a new FO query q formulated over S.
An important question is whether we can further extend the ontology specification language of OBDM without losing the nice computational property of the query rewriting phase.
More generally, the issue of designing automated reasoning algorithms for query answering in OBDM has been addressed by many scientific works and projects.
While computing certain answers of queries under the classical semantics has been the main subject of the research investigation on OBDM, there are several other services that an OBDM system should provide.
Besides ontology-mediated querying and other data management tasks, recent works argue that OBDM is a promising tool for assessing the quality of data, especially in the presence of multiple, independent data sources (Console and Lenzerini 2014; Catarei et al.
On the contrary, OBDM promotes a new method, where the rules to be checked are derived directly from the ontology and where they have also been validated by the process of building the conceptual model of the domain.
Unfortunately, in real-world OBDM systems, inconsistencies are likely to occur between the domain knowledge represented by the ontology and that represented by the data at the sources, because data sources are generally maintained by single applications and so are kept coherent neither with other data sources nor with the axioms of the underlying ontology.
As we said before, OBDM opens up the possibility of a new way of publishing data, with the idea of annotating data items with the ontology elements that describe them in terms of the concepts in the domain of the organization.
The OBDM paradigm is relatively new, but it is attracting a strong interest from several communities.
While in the last years such interaction was confined to methods and techniques for data mining and knowledge discovery, OBDM is pushing the community of knowledge representation and reasoning towards research topics that are closed to big data and data science.
Acronyms browser ?
Full browser ?
- OBD II