Georgios Santipantakis, Konstantinos Kotis and George Vouros

Accessing and Reasoning with Data from Disparate Data Sources Using Modular Ontologies and OBDA

This paper proposes a distributed framework for accessing, integrating and reasoning with data from heterogeneous, disparate data sources. The proposed solution combines the E-SHIQ modular ontology representation framework with the Ontop ontology-based data access (OBDA) technology. Distribution of knowledge allows the treatment of data from disparate sources in an autonomous manner, parallelization of operations, while it allows more efficient reasoning with the data.