Abstract
The Optique project aims at providing an end-to-end solution for scalable Ontology-Based Data Access to Big Data integration, where end-users will
formulate queries based on a familiar conceptualization of the underlying domain,
that is, over an ontology. From user queries the Optique platform will automatically generate appropriate queries over the underlying integrated data, optimize
and execute them. The key components in the Optique platform are the ontology
and mappings that provide the relationships between the ontology and the underlying data. In this paper we discuss the problem of bootstrapping and maintenance
of ontologies and mappings. The important challenge in both tasks is debugging
errors in ontologies and mappings. We will present examples of different kinds
of error, and give our preliminary view on their debugging
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