At the Unit for Reasoning, Querying & Real-time Data Analytics we focus on scalable and interoperable ways of transforming web data streams into actionable knowledge, leveraging Linked Open Data and Standards for data representation and management. At the processing level, we tackle crucial challenges for enabling IoT-intelligence, including large-scale stream query processing and optimization, hybrid reasoning involving inductive learning and deduction processes, quality-aware query federation, adaptive stream processing, stream reasoning and the application of those in Smart Cities, eHealth, Smart Manufacturing, Smart Farming and Enterprise Communication Systems.
Areas of work:
Event detection, Hybrid and scalable reasoning, Query optimisation, Real-time data analysis, Smart cities, Smart manufacturing, Stream mining, Stream processing, Knowledge extraction, Smart farming, Smart ports,
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2014 CONFERENCES