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.
Ontology−based End−user Visual Query Formulation: Why‚ what‚ who‚ how‚ and which?
Ahmet Soylu‚ Martin Giese‚ Ernesto Jimenez−Ruiz‚ Evgeny Kharlamov‚ Dmitriy Zheleznyakov and Ian Horrocks
In Universal Access in the Information Society. Vol. (in press). 2016.
Experiencing OptiqueVQS: a multi−paradigm and ontology−based visual query system for end users
Ahmet Soylu‚ Martin Giese‚ Ernesto Jiménez−Ruiz‚ Guillermo Vega−Gorgojo and Ian Horrocks
In Universal Access in the Information Society. Vol. 15. Pages 129−152. 2016.
Limiting Logical Violations in Ontology Alignment Through Negotiation
Ernesto Jimenez−Ruiz‚ Terry R. Payne‚ Alessandro Solimando and Valentina Tamma
In Proceedings of the 15th International Conference on Principles of Knowledge Representation and Reasoning (KR). AAAI Press. April, 2016.