Microblogs data is the microlength user-generated data that is posted on the web, e.g., tweets, online reviews, comments on news and social media. It has gained considerable attention in recent years due to its widespread popularity, rich content, and value in several societal applications. Nowadays, microblogs applications span a wide spectrum of interests including targeted advertising, market reports, news delivery, political campaigns, rescue services, and public health. Consequently, major research efforts have been spent to manage, analyze, and visualize microblogs to support different applications. This paper gives a comprehensive review of major research and system work in microblogs data management. The paper reviews core components that enable large-scale querying and indexing for microblogs data. A dedicated part gives particular focus for discussing system-level issues and on-going effort on supporting microblogs through the rising wave of big data systems. In addition, we review the major research topics that exploit these core data management components to provide innovative and effective analysis and visualization for microblogs, such as event detection, recommendations, automatic geotagging, and user queries. Throughout the different parts, we highlight the challenges, innovations, and future opportunities in microblogs data research.

中文翻译：

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微博数据管理：一项调查

微博数据是在网络上发布的由用户生成的微长数据，例如，推文，在线评论，新闻和社交媒体评论。近年来，由于其广泛的流行性，丰富的内容以及在一些社会应用中的价值，它引起了相当大的关注。如今，微博应用程序涉及广泛的兴趣，包括定向广告，市场报道，新闻传递，政治运动，救援服务和公共卫生。因此，已花费大量的研究工作来管理，分析和可视化微博客以支持不同的应用程序。本文对微博数据管理的主要研究和系统工作进行了全面回顾。本文回顾了能够对微博数据进行大规模查询和索引的核心组件。专门的部分特别关注讨论系统级问题以及通过大数据系统的兴起来支持微博的持续努力。此外，我们回顾了利用这些核心数据管理组件为微博提供创新且有效的分析和可视化的主要研究主题，例如事件检测，建议，自动地理标记和用户查询。在不同的部分中，我们重点介绍了微博数据研究中的挑战，创新和未来机会。例如事件检测，推荐，自动地理标记和用户查询。在不同的部分中，我们重点介绍了微博数据研究中的挑战，创新和未来机会。例如事件检测，推荐，自动地理标记和用户查询。在不同的部分中，我们重点介绍了微博数据研究中的挑战，创新和未来机会。