Optique overcomes problems in current ontology-based data access systems pertaining to
installation overhead, usability, scalability, and scope by integrating a user-oriented query …

Accessing and utilizing enterprise or Web data that is scattered across multiple data sources
is an important task for both applications and users. Ontology-based data integration, where …

A major challenge in information management today is the integration of huge amounts of
data distributed across multiple data sources. A suggested approach to this problem is …

Abstract Ontology-Based Data Access (OBDA) has traditionally focused on providing a
unified view of heterogeneous datasets (eg, relational databases, CSV and JSON files) …

We report on our experience in ontology-based data access to the Slegge database at
Statoil and share the resources employed in this use case: end-user information needs (in …

The preparation of existing real-world datasets for publication as high-quality semantic web
data is a complex task that requires the concerted execution of a variety of processing steps …

Abstract The Ontology-Based Data Access (OBDA) paradigm aims at providing to the users
a unified and shared conceptual view of the domain of interest (ontology), while still …

For reasoning over streams of data ontology-based data access is a common approach. The
method for answering conjunctive queries (CQs) over DL-Lite ontologies in this setting is by …

Fuzzy Description Logics (FDLs) generalize crisp ones by providing membership degree
semantics. To offer efficient query answering for FDLs it is desirable to extend the rewriting …

Ontology-Based Data Access (OBDA) has traditionally focused on providing a unified view
of heterogeneous datasets (eg, relational database, CSV, JSON), either by materializing …