房间里的大象:从大数据中获取价值

S. Abiteboul, X. Dong, Oren Etzioni, D. Srivastava, G. Weikum, Julia Stoyanovich, Fabian M. Suchanek
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引用次数: 12

摘要

大数据及其4v(体积、速度、多样性和准确性)一直处于社会、科学和工程话语的前沿。可以说,最重要的第5个V——价值——并没有被谈论得那么多。我们如何确保我们的数据不仅大,而且有价值?WebDB 2015的主题是“网络上信息和知识的新鲜度、正确性和质量”。研讨会共收到31份意见书,其中最好的9份被选出在研讨会上发表,并在会议记录上发表。为了做好准备,我们采访了几位数据管理界的知名人士,就如何确保数据不仅在数量上可用,而且在质量上可用征求他们的意见。在这次采访中,Serge Abiteboul, Oren Etzioni, Divesh Srivastava和Luna Dong以及Gerhard Weikum与我们分享了他们在数据质量领域进行研究的动机,并讨论了他们目前的工作以及他们对该领域未来的看法。这次采访发表在SIGMOD博客上。
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The elephant in the room: getting value from Big Data
Big Data, and its 4 Vs – volume, velocity, variety, and veracity – have been at the forefront of societal, scientific and engineering discourse. Arguably the most important 5th V, value, is not talked about as much. How can we make sure that our data is not just big, but also valuable? WebDB 2015 has as its theme “Freshness, Correctness, Quality of Information and Knowledge on the Web”. The workshop attracted 31 submissions, of which the best 9 were selected for presentation at the workshop, and for publication in the proceedings. To set the stage, we have interviewed several prominent members of the data management community, soliciting their opinions on how we can ensure that data is not just available in quantity, but also in quality. In this interview Serge Abiteboul, Oren Etzioni, Divesh Srivastava with Luna Dong, and Gerhard Weikum shared with us their motivation for doing research in the area of data quality, and discussed their current work and their view on the future of the field. This interview appeared as a SIGMOD Blog article.
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