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Optique system: towards ontology and mapping management in obda solutions.
| Content Provider | CiteSeerX |
|---|---|
| Author | Haase, Peter Horrocks, Ian Hovl, Dag Hubauer, Thomas Jimenez-Ruiz, Ernesto Kharlamov, Evgeny Klüwer, Johan Pinkel, Christoph Rosati, Riccardo Santarelli, Valerio Soylu, Ahmet Zheleznyakov, Dmitriy |
| Abstract | 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. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Obda Solution Mapping Management Towards Ontology Optique System Optique Platform Scalable Ontology-based Data Access Preliminary View Appropriate Query User Query Underlying Integrated Data Key Component Familiar Conceptualization Optique Project Underlying Data Important Challenge End-to-end Solution Different Kind Big Data Integration |
| Content Type | Text |
| Resource Type | Article |
