Stream Querying for Private Data

Due to the dynamic nature of knowledge and data in semantic applications, i.e., ontology stream querying technologies are essential for knowledge driven data exploitation systems. Nowadays, many proposed stream reasoning solutions and implemented systems apply forward chaining completion algorithms to handle the removal and addition of axioms. In this deliverable, we propose a novel approach to ontology stream querying that utilizes existing Database tools. Compared to existing works, this approach has a special advantage: the performance of query answering is automatically improved by the improvement of the state-of-the-art Database technologies. Keyword List ontology stream, stream query answering Project funded by the European Commission within the 7th Framework Programme/Maria Curie Industry-Academia Partnerships and Pathways schema/PEOPLE Work Programme 2011.