Microblogs data management and analysis

2016 IEEE 32nd International Conference on Data Engineering (ICDE) Pub Date : 2016-05-16 DOI:10.1109/ICDE.2016.7498365

A. Magdy, M. Mokbel

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引用次数: 1

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 detecting and analyzing events, user analysis for geo-targeted ads and political elections, and critical applications like discovering health issues and rescue services. Consequently, major research efforts are spent to analyze and manage microblogs data to support different applications. In this tutorial, we give a 1.5 hours overview about microblogs data analysis, management, and systems. The tutorial gives a comprehensive review for research efforts that are trying to analyze microblogs contents to build on them new functionality and use cases. In addition, the tutorial reviews existing research that propose core data management components to support microblogs queries at scale. Finally, the tutorial reviews system-level issues and on-going work on supporting microblogs data through the rising big data systems. Through its different parts, the tutorial highlights the challenges and opportunities in microblogs data research.

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微博数据管理与分析

微博数据，如推文、评论、新闻评论、社交媒体评论等，近年来因其广受欢迎和内容丰富而备受关注。如今，微博应用程序涵盖了广泛的兴趣范围，包括检测和分析事件，针对地理定位广告和政治选举的用户分析，以及发现健康问题和救援服务等关键应用程序。因此，主要的研究工作是分析和管理微博数据，以支持不同的应用程序。在本教程中，我们将用1.5小时概述微博数据分析、管理和系统。本教程对试图分析微博内容以在其基础上构建新功能和用例的研究工作进行了全面的回顾。此外，本教程还回顾了现有的研究，这些研究提出了核心数据管理组件，以支持大规模的微博查询。最后，本教程回顾了系统级问题和正在进行的通过新兴的大数据系统支持微博数据的工作。通过其不同的部分，该教程突出了微博数据研究的挑战和机遇。

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2016 IEEE 32nd International Conference on Data Engineering (ICDE)

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