HANNE - A Holistic Application for Navigational Knowledge Engineering

Although research towards the reduction of the knowledge acquisition bottleneck in ontology engineering is advancing, a central issue remains unsolved: Light-weight processes for collaborative knowledge engineering by a massive user base. In this demo, we present HANNE, a holistic application that implements all necessary prerequisites for Navigational Knowledge Engineering and thus reduces the complexity of creating expressive knowledge by disguising it as navigation. HANNE enables users and domain experts to navigate over knowledge bases by selecting examples. From these examples, formal OWL class expressions are created and refined by a scalable Iterative Machine Learning approach. When saved by users, these class expressions form an expressive OWL ontology, which can be exploited in numerous ways: as navigation suggestions for users, as a hierarchy for browsing, as input for a team of ontology editors.