Dynamic Data Sharing from Large Data Sources

Fiona McNeill, Andriana Gkaniatsou, Alan Bundy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper outlines our work on facilitating fast, effective, on-demand data sharing during emergency response situations. A lazy approach to matching is taken, matching only when and what is necessary for the immediate situation. This allows us to deal with data from large sources represented in different formats. This is a position paper, describing how we are adapting well-developed matching techniques to be appropriate for a different domain, explaining the key challenges and differences of this domain, and describing what has been revealed by the
data analysis we have performed thus far.
Original languageEnglish
Title of host publicationProceedings of the 11th International ISCRAM Conference
Number of pages7
Publication statusPublished - 2014


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