CODA - Custom-Made Ontology Based Data Access
The CODA project is funded by the ERC as Consolidator Grant 647289
Project description. We are living in an era where an unprecedented amount of data is available to companies, scientists, and individuals. Making use of this data is increasingly becoming crucial for economic success and for scientific progress, and even in taking informed decisions in everyday life. However, a large amount of data from many different sources can be very difficult to handle and to interpret and, in particular, such data will often be highly incomplete and very heterogeneous in representation. How can we provide support for dealing with this situation? Imagine that a computer program which processes data has at its disposal a large amount of encyclopedic domain knowledge, of the kind provided by Wikipedia for human users. This is the purpose of an ontology and indeed ontologies have proved to be very useful for supporting the processing of incomplete and heterogeneous data. But the convenience comes at a price: processing the data and the ontology at the same time is computationally expensive. The CODA project sets out to provide an ultimately fine-grained analysis of the computational costs of ontology-mediated querying, identifying and studying "islands of tractability", that is, classes of ontologies which can be processed efficiently and have other desirable computational properties. The overall aim of this approach is to enable ontology engineers to design and customize ontologies that strike an ideal balance between the knowledge provided and efficient processing, in this way developing ontology-mediated querying to its full potential.
The publications of the CODA project can be found on the publication page of the Theory of Artificial Intelligence group
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