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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Magdy, A. Alarabi, L. Al-Harthi, S. Musleh, M. Ghanem, T.M. Ghani, S. Basalamah, S. Mokbel, M.F. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA (Magdy, A.; Alarabi, L.; Mokbel, M.F.) || KACST GIS Technol. Innovation Center, Umm Al-Qura Univ., Makkah, Saudi Arabia (Al-Harthi, S.; Musleh, M.; Ghani, S.; Basalamah, S.) || Dept. of Inf. & Comput. Sci., Metropolitan State Univ., St. Paul, MN, USA (Ghanem, T.M.) |
| Abstract | This paper demonstrates Taghreed; a full-fledged system for efficient and scalable querying, analyzing, and visualizing geotagged microblogs, such as tweets. Taghreed supports a wide variety of queries on all microblogs attributes. In addition, it is able to manage a large number (billions) of microblogs for relatively long periods, e.g., months. Taghreed consists of four main components: (1) indexer, (2) query engine, (3) recovery manager, and (4) visualizer. Taghreed indexer efficiently digests incoming microblogs with high arrival rates in light main-memory indexes. When the memory becomes full, the memory contents are flushed to disk indexes which are managing billions of microblogs efficiently. On memory failure, the recovery manager restores the memory contents from backup copies. Taghreed query engine consists of two modules: a query optimizer and a query processor. The query optimizer generates an optimized query plan to be executed by the query processor to provide low query responses. Taghreed visualizer features to its users a wide variety of spatiotemporal queries and presents the answers on a map-based user interface that allows an interactive exploration. Taghreed is the first system that addresses all these challenges collectively for geotagged microblogs data. The system is demonstrated based on real system implementation through different scenarios that show system functionality and internals. |
| Starting Page | 1416 |
| Ending Page | 1419 |
| File Size | 935937 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479979646 |
| DOI | 10.1109/ICDE.2015.7113390 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-13 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data visualization Twitter Real-time systems Engines Indexing Visualization |
| Content Type | Text |
| Resource Type | Article |
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