Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Online Algorithm for Segmenting Time Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content
Multimedia Tools and Applications
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Spatio-temporal data reduction with deterministic error bounds
The VLDB Journal — The International Journal on Very Large Data Bases
Toward a Common Event Model for Multimedia Applications
IEEE MultiMedia
A conceptual view on trajectories
Data & Knowledge Engineering
Theory and Practice of Logic Programming
Thesaurus-Based Search in Large Heterogeneous Collections
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Compressing spatio-temporal trajectories
Computational Geometry: Theory and Applications
F--a model of events based on the foundational ontology dolce+DnS ultralight
Proceedings of the fifth international conference on Knowledge capture
LODE: Linking Open Descriptions of Events
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
COMM: designing a well-founded multimedia ontology for the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
An event-based approach for semantic metadata interoperability
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Hacking history via event extraction
Proceedings of the sixth international conference on Knowledge capture
Combining Linked Data and knowledge engineering best practices to design a lightweight role ontology
Applied Ontology - Is there Beauty in Ontologies?
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Bridging the gap between low-level features and semantics is a problem commonly acknowledged in the Multimedia community. Event modeling can fill this gap by representing knowledge about the data at different level of abstraction. In this paper we present the Simple Event Model (SEM) and its application in a Maritime Safety and Security use case about Situational Awareness, where the data also come as low-level features (of ship trajectories). We show how we abstract over these low-level features, recognize simple behavior events using a Piecewise Linear Segmentation algorithm, and model the resulting events as instances of SEM. We aggregate web data from different sources, apply deduction rules, spatial proximity reasoning, and semantic web reasoning in SWI-Prolog to derive abstract events from the recognized simple events. The use case described in this paper comes from the Dutch Poseidon project.