Microblogs data management systems: Querying, analysis, and visualization

Mohamed Mokbel, Amr Magdy

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

5 Citations (Scopus)

Abstract

Microblogs data, e.g., tweets, reviews, news comments, and social media comments, has gained considerable attention in recent years due to its popularity and rich contents. Nowadays, microblogs applications span a wide spectrum of interests, including analyzing events and users activities and critical applications like discovering health issues and rescue services. Consequently, major research efforts are spent to manage, analyze, and visualize microblogs data to support different applications. In this tutorial, we give a 1.5 hours overview about microblogs data management, analysis, visualization, and systems. The tutorial gives a comprehensive review for research on core data management components to support microblogs queries at scale. This includes system-level issues and on-going work on supporting microblogs data through the rising wave of big data systems. In addition, the tutorial reviews research on microblogs data analysis and visualization. Through its different parts, the tutorial highlights the challenges and opportunities in microblogs data research.

Original languageEnglish
Title of host publicationSIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages2219-2222
Number of pages4
Volume26-June-2016
ISBN (Electronic)9781450335317
DOIs
Publication statusPublished - 26 Jun 2016
Externally publishedYes
Event2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016 - San Francisco, United States
Duration: 26 Jun 20161 Jul 2016

Other

Other2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016
CountryUnited States
CitySan Francisco
Period26/6/161/7/16

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ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Mokbel, M., & Magdy, A. (2016). Microblogs data management systems: Querying, analysis, and visualization. In SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data (Vol. 26-June-2016, pp. 2219-2222). Association for Computing Machinery. https://doi.org/10.1145/2882903.2912570