What's on the grapevine?

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What's on the grapevine?

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International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents

Providence, Rhode Island, USA

DEMONSTRATION SESSION: Demonstration session: group A table of contents

Pages 1047-1050

Year of Publication: 2009

ISBN:978-1-60558-551-2

Authors

Albert Angel	University of Toronto, Toronto, ON, Canada
Nick Koudas	University of Toronto, Toronto, ON, Canada
Nikos Sarkas	University of Toronto, Toronto, ON, Canada
Divesh Srivastava	AT&T Labs Inc. - Research, Florham Park, NJ, USA

Sponsors

ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 29, Downloads (12 Months): 87, Citation Count: 0

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ABSTRACT

User generated content and social media (in the form of blogs, wikis, online video, microblogs, etc) are proliferating online. Grapevine conducts large scale data analysis on the social media collective, distilling and extracting information in real time. It aims to track entities and stories of interest in millions of blog posts, thousands of tweets, news items, etc., daily. Grapevine facilitates the interactive exploration of content, allowing users to discover interesting or surprising stories, optionally narrowed down on a specific demographic of interest (e.g. "What are Torontonians talking about on blogs?", "What are popular stories across news sources in Canada?", "What are financiers in Texas blogging about today?"). Stories of interest can be explored in a variety of ways, such as modifying their scope, obtaining related content (blog posts, news, etc), and examining their temporal evolution.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	]]Wikipedia. http://www.wikipedia.org.
	2	]]M. Banko, M. J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni. Open Information Extraction from the Web. In IJCAI, 2007.
	3	Nilesh Bansal , Nick Koudas, BlogScope: a system for online analysis of high volume text streams, Proceedings of the 33rd international conference on Very large data bases, September 23-27, 2007, Vienna, Austria
	4	Kurt Bollacker , Colin Evans , Praveen Paritosh , Tim Sturge , Jamie Taylor, Freebase: a collaboratively created graph database for structuring human knowledge, Proceedings of the 2008 ACM SIGMOD international conference on Management of data, June 09-12, 2008, Vancouver, Canada [doi>10.1145/1376616.1376746]