Building multi-Resolution event-Enriched maps from social data

Faizan Ur Rehman, Imad Afyouni, Ahmed Lbath, Sohaib Ahmad Khan, Saleh Basalamah, Mohamed Mokbel

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

1 Citation (Scopus)

Abstract

This paper discusses the next generation of digital maps, by positing that maps in future will intelligently self-update themselves based on distinctive events extracted dynamically from social media streams or other crowd-sourced data. To realize this concept, the challenges include developing a scalable and efficient system to deal with a variety of unstructured data streams, applying NLP and clustering techniques to extract relevant information from these streams, and inferring the spatio-temporal scope of detected events. This paper demonstrates Hadath, a system that extracts live events from social data by encapsulating incoming unstructured data into generic data packets. The system implements a hierarchical in-memory indexing scheme to support efficient access to data packets, as well as for memory flushing purposes. Data packets are then processed to extract Events of Interest (EoI), based on a multi-dimensional clustering technique. Next, we establish the spatial scope and the level of abstraction of each event. This allows us to show live events in correspondence to the scale of the view – when viewing at a city scale, we see events of higher significance, while zooming in to a neighborhood highlights events of a more local interest. The final output creates a unique and dynamic map browsing experience.

Original languageEnglish
Title of host publicationAdvances in Database Technology - EDBT 2017
Subtitle of host publication20th International Conference on Extending Database Technology, Proceedings
PublisherOpenProceedings.org
Pages594-597
Number of pages4
Volume2017-March
ISBN (Electronic)9783893180738
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event20th International Conference on Extending Database Technology, EDBT 2017 - Venice, Italy
Duration: 21 Mar 201724 Mar 2017

Other

Other20th International Conference on Extending Database Technology, EDBT 2017
CountryItaly
CityVenice
Period21/3/1724/3/17

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Keywords

  • Crowdsourced data
  • Event-enriched maps
  • Spatio-temporal scope

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Computer Science Applications

Cite this

Rehman, F. U., Afyouni, I., Lbath, A., Khan, S. A., Basalamah, S., & Mokbel, M. (2017). Building multi-Resolution event-Enriched maps from social data. In Advances in Database Technology - EDBT 2017: 20th International Conference on Extending Database Technology, Proceedings (Vol. 2017-March, pp. 594-597). OpenProceedings.org. https://doi.org/10.5441/002/edbt.2017.78