Issues and Challenges of the Applications of Context to Enhance Information Fusion, Panel Summary

摘要

During the 2016 SPIE DSS conference, nine panelists were invited to highlight the trends and use of context for information fusion. This paper highlights the common issues and trends presented from the panel discussion. The different panelists highlighted methods of filtering methods, data aggregation, and the importance of context for realtime analytics. Using the panelist perspectives, the review organizes the common issues and themes as well areas of future analysis of content and context enrichment from information fusion.