Deriving User Interface from Ontologies: A Model-Based Approach
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Possible Ontologies: How Reality Constrains the Development of Relevant Ontologies
IEEE Internet Computing
Ontology visualization methods—a survey
ACM Computing Surveys (CSUR)
Handbook on Ontologies
Ontology-Based Integration of Sensor Web Services in Disaster Management
GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
MatchBox: combined meta-model matching for semi-automatic mapping generation
Proceedings of the 2010 ACM Symposium on Applied Computing
Editorial: Application integration on the user interface level: An ontology-based approach
Data & Knowledge Engineering
Ontology-based information visualization in integrated UIs
Proceedings of the 16th international conference on Intelligent user interfaces
Mapping pragmatic class models to reference ontologies
ICDEW '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering Workshops
Efficient semantic event processing: lessons learned in user interface integration
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Applied Ontology - Is there Beauty in Ontologies?
Democratizing mobile app development for disaster management
Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities
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Disaster management software deals with supporting staff in large catastrophic incidents such as earthquakes or floods, e.g., by providing relevant information, facilitating task and resource planning, and managing communication with all involved parties. In this paper, we introduce the SoKNOS support system, which is a functional prototype for such software using semantic technologies for various purposes. Ontologies are used for creating a mutual understanding between developers and end users from different organizations. Information sources and services are annotated with ontologies for improving the provision of the right information at the right time, for connecting existing systems and databases to the SoKNOS system, and for providing an ontology-based visualization. Furthermore, the users' actions are constantly supervised, and errors are avoided by employing ontology-based consistency checking. We show how the pervasive and holistic use of semantic technologies leads to a significant improvement of both the development and the usability of disaster management software, and present some key lessons learned from employing semantic technologies in a large-scale software project.