Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Incremental distance join algorithms for spatial databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Providing architectural support for building context-aware applications
Providing architectural support for building context-aware applications
The VLDB Journal — The International Journal on Very Large Data Bases
Hierarchical Situation Modeling and Reasoning for Pervasive Computing
SEUS-WCCIA '06 Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)
Automatic Acquisition of Context Models and its Application to Video Surveillance
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Situation specification and realization in rule-based context-aware applications
DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Situation based control for cyber-physical environments
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Social pixels: genesis and evaluation
Proceedings of the international conference on Multimedia
A framework of cognitive situation modeling and recognition
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Eventshop: from heterogeneous web streams to personalized situation detection and control
Proceedings of the 3rd Annual ACM Web Science Conference
Social life networks: a multimedia problem?
Proceedings of the 21st ACM international conference on Multimedia
Proceedings of the 21st ACM international conference on Multimedia
Building health persona from personal data streams
Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
Situation fencing: making geo-fencing personal and dynamic
Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
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With the growth in social media, internet of things, and planetary-scale sensing there is an unprecedented need to assimilate spatio-temporally distributed multimedia streams into actionable information. Consequently the concepts like objects, scenes, and events, need to be extended to recognize situations (e.g. epidemics, traffic jams, seasons, flash mobs). This paper motivates and computationally grounds the problem of situation recognition. It describes a systematic approach for combining multimodal real-time big data into actionable situations. Specifically it presents a generic approach for modeling and recognizing situations. A set of generic building blocks and guidelines help the domain experts model their situations of interest. The created models can be tested, refined, and deployed into practice using a developed system (EventShop). Results of applying this approach to create multiple situation-aware applications by combining heterogeneous streams (e.g. Twitter, Google Insights, Satellite imagery, Census) are presented.