Ontology-Based Data Access in Practice
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (31 August 2017)
Special Issue Editors
Interests: semantic web; human-computer interaction; ontologies; pervasive computing; model-driven development
Special Issues, Collections and Topics in MDPI journals
Interests: The Semantic Web; information systems; ontologies; logic; Big Data
Special Issue Information
Dear Colleagues,
Ontology-based data access (OBDA), built on description logic (DL) ontologies, is currently having a key role in the development of next generation data access systems. OBDA employs a data virtualisation approach and enables in-place querying of already existing legacy data sources over ontologies. That is, data stays where it is and in its original structure, and an ontology comes in as an additional layer with appropriate mechanisms to virtualise underlying data into RDF. An OBDA system rewrites posed queries into the vocabulary of the underlying data sources and lets the legacy query answering systems, such as a relational database to evaluate the queries. Ontologies are promising to improve query answering process, i.e., federation and reasoning, but they also play an important role for end-user query formulation process by offering high-level institutive vocabularies.
We are looking to put together a comprehensive set of papers covering recent advances of the OBDA approach. We are particularly interested to attract papers reporting applications, such as search and querying but not limited to, use-cases, implemented systems, data sets, methods, benchmarks, best practices that demonstrate and guide the applicability of the OBDA in real world. Although traditional OBDA systems assume underlying data sources as relational databases, we are also interested in non-relational scenarios, such as XML and RDF.
Assoc. Prof. Ahmet Soylu
Dr. Evgeny Kharlamov
Dr. Ernesto Jimenez-Ruiz
Guest Editors
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Keywords
- ontology-based data access
- search
- querying
- OWL
- RDF
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