Knowledge Representation and Reasoning
The Knowledge Representation and Reasoning Group conducts research in knowledge representation formalisms, ontology languages, the design, implementation and optimisation of reasoning systems, and applications in areas such as e-Science and the Semantic Web. Members of the group were centrally involved in the development of the World Wide Web Consortium (W3C) OWL ontology language, and are leading the development of its successor OWL2. They have also designed the logics and algorithms that underpin OWL(2), and have implemented these algorithms in highly optimised reasoning systems such as HermiT.
Enabling Semantic Access to Static and Streaming Distributed Data with Optique: Demo
Evgeny Kharlamov‚ Sebastian Brandt‚ Martin Giese‚ Ernesto Jiménez−Ruiz‚ Yannis Kotidis‚ Steffen Lamparter‚ Theofilos Mailis‚ Christian Neuenstadt‚ Özgür L. Özçep‚ Christoph Pinkel‚ Ahmet Soylu‚ Christoforos Svingos‚ Dmitriy Zheleznyakov‚ Ian Horrocks‚ Yannis E. Ioannidis‚ Ralf Möller and Arild Waaler
In Proc. International Conference on Distributed and Event−based Systems (DEBS). Pages 350–353. 2016.
Ontology−Based Integration of Streaming and Static Relational Data with Optique
Evgeny Kharlamov‚ Sebastian Brandt‚ Ernesto Jiménez−Ruiz‚ Yannis Kotidis‚ Steffen Lamparter‚ Theofilos Mailis‚ Christian Neuenstadt‚ Özgür L. Özçep‚ Christoph Pinkel‚ Christoforos Svingos‚ Dmitriy Zheleznyakov‚ Ian Horrocks‚ Yannis E. Ioannidis and Ralf Möller
In Proc. of International Conference on Management Data (SIGMOD). Pages 2109–2112. 2016.
Ontology Based Access to Exploration Data at Statoil
Evgeny Kharlamov‚ Dag Hovland‚ Ernesto Jimenez−Ruiz‚ Davide Lanti‚ Hallstein Lie‚ Christoph Pinkel‚ Martin Rezk‚ Martin G. Skjæveland‚ Evgenĳ Thorstensen‚ Guohui Xiao‚ Dmitriy Zheleznyakov and Ian Horrocks
In Proc. of International Semantic Web Conference (ISWC). 2015.