An ontology-based adaptive reporting tool
Christian Mårtenson, Andreas Horndahl, Ziaul Kabir · 2011
Intelligence gathering by human observers is important for acquiring indirect and non-physical information. The drawback is that it is often delivered as free text which is not well-suited for further exploitation through automatic processing. In this paper we present a concept for structured human reporting based on an ontology-driven adaptive user-interface. The concept lays the foundation for the implementation of a possibly hand-held in-field reporting system, which can adapt to the context of the reporting situation as well as to possible information needs of other agents in the intelligence system.