Querying Big Social Data

Wenfei Fan

doi:10.1007/978-3-642-39467-6_5

Querying Big Social Data

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Big data poses new challenges to query answering, from computational complexity theory to query evaluation techniques. Several questions arise. What query classes can be considered tractable in the context of big data? How can we make query answering feasible on big data? What should we do about the quality of the data, the other side of big data? This paper aims to provide an overview of recent advances in tackling these questions, using social network analysis as an example.

Original language	English
Title of host publication	Big Data
Subtitle of host publication	29th British National Conference on Databases, BNCOD 2013, Oxford, UK, July 8-10, 2013. Proceedings
Publisher	Springer
Pages	14-28
Number of pages	15
Volume	7968
ISBN (Electronic)	978-3-642-39467-6
ISBN (Print)	978-3-642-39466-9
DOIs	https://doi.org/10.1007/978-3-642-39467-6_5
Publication status	Published - 2013

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Fan ET AL 2013 Querying Big Social DataSubmitted manuscript, 218 KB

http://dx.doi.org/10.1007/978-3-642-39467-6_5

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title = "Querying Big Social Data",

abstract = "Big data poses new challenges to query answering, from computational complexity theory to query evaluation techniques. Several questions arise. What query classes can be considered tractable in the context of big data? How can we make query answering feasible on big data? What should we do about the quality of the data, the other side of big data? This paper aims to provide an overview of recent advances in tackling these questions, using social network analysis as an example.",

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Querying Big Social Data

Abstract

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