Semi-automatic Ontology Maintenance in the Virtuoso News Monitoring System

Domain ontologies are a central component in the Virtuoso demonstrator, a system that captures, analyzes and aggregates open news sources in order to achieve an information position that supports complex decision processes in the context of border control. However, maintenance of such an ontology is a challenging task. We demonstrate a text processing pipeline that supports domain experts in maintaining the domain ontology. The system facilitates the maintenance by generating candidate concepts that should be added to the ontology. Some initial tests have been carried out with filtering candidate concepts from a domain specific news feed.