NDLI: Taghreed: a system for querying, analyzing, and visualizing geotagged microblogs

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Taghreed: a system for querying, analyzing, and visualizing geotagged microblogs

Content Provider	ACM Digital Library
Author	Alarabi, Louai Ghani, Sohaib Musleh, Mashaal Mokbel, Mohamed F. Magdy, Amr Al-Harthi, Saif Ghanem, Thanaa M.
Abstract	This paper presents Taghreed; a full-fledged system for efficient and scalable querying, analyzing, and visualizing geotagged microblogs, e.g., tweets. Taghreed supports arbitrary queries on a large number (Billions) of microblogs that go up to several months in the past. Taghreed consists of four main components: (f) Indexer, (2) query engine, (3) recovery manager, and (4) visualizer. Taghreed indexer efficiently digests incoming microblogs with high arrival rates in light memory-resident indexes. When the memory becomes full, a flushing policy manager transfers the memory contents to disk indexes which are managing Billions of microblogs for several months. On memory failure, the recovery manager restores the system status from replicated copies for the main-memory content. Taghreed query engine consists of two modules: a query optimizer and a query processor. The query optimizer generates an optimal query plan to be executed by the query processor through efficient retrieval techniques to provide low query response, i.e., order of milli-seconds. Taghreed visualizer allows end users to issue a wide variety of spatio-temporal queries. Then, it graphically presents the answers and allows interactive exploration through them. Taghreed is the first system that addresses all these challenges collectively for microblogs data. In the paper, each system component is described in detail.
Starting Page	163
Ending Page	172
Page Count	10
File Format	PDF
ISBN	9781450331319
DOI	10.1145/2666310.2666397
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Spatio-temporal Query processing Microblogs Indexing
Content Type	Text
Resource Type	Article

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