DAPD special issue on Data Management in Social Media
"Akshay Java" <[email protected]> Wed, 24 Sep 2008 14:51:24 -0400
| Newsgroups | gmane.comp.information-retrieval.webir |
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| Message-ID | <[email protected]> |
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[apologies for cross posting]
Call for Papers
Distributed and Parallel Databases
http://www.springerlink.com/content/100257/
Special Issue on Data Management in Social Media
http://ebiquity.umbc.edu/misc/data-management-social-media/
Guest Editors:
- Tim Finin, UMBC, [email protected]
- Anupam Joshi, UMBC, [email protected]
- Akshay Java, UMBC, [email protected]
Social Media tools like blogs, wikis and social networking sites are
providing new opportunities for us to connect and interact with each
other. Many social theories that could once be researched only by
conducting expensive surveys can now be studied and modeled due to the
easy availability of large scale social annotations and explicit
description of social relationships online. The rate at which blogs,
videos, bookmarks and many other user generated content is growing
presents several interesting research and data management
questions. The opportunity to mine social media content for analyzing
opinions, sentiments and trend identification has several applications
in Web search, personalization, business intelligence and national
security. This special issue of the International Journal of
Distributed and Parallel Databases invites original research
contributions on data management in social media. Topics include but
are not restricted to
- community detection and evolution in social media
- recommendation systems
- search in social media
- event detection, trend identification and tracking in social media
- influence, trust and reputation in social media
- opinion/sentiment analysis, polarity identification
- feed distillation and ranking blogs
- mining microblogging and real time data
- folksonomy, tag semantics, clustering and usage
- advertising models for the social web
- indexing social media content, index freshness
- visualizing social network data
- spam detection, social network spam and profile spam
Manuscripts must be submitted by January 15, 2009 and should not
exceed 25 pages in length. Authors will be notified by April 15 and
camera ready copy will be due May 15. Submit papers online at
http://dapd.edmgr.com/ specifying article type "S.I.: Data Management
for the Social Web". For more information, contact Anupam Joshi at
joshi-iAiprmkJuSSeodoxqx+5/[email protected]
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<p>[apologies for cross posting]<br>
<br>
Call for Papers<br>
<br>
Distributed and Parallel Databases<br>
<a href="http://www.springerlink.com/content/100257/">http://www.springer<wbr>link.com/<wbr>content/100257/</a><br>
<br>
Special Issue on Data Management in Social Media<br>
<a href="http://ebiquity.umbc.edu/misc/data-management-social-media/">http://ebiquity.<wbr>umbc.edu/<wbr>misc/data-<wbr>management-<wbr>social-media/</a><br>
<br>
Guest Editors:<br>
- Tim Finin, UMBC, <a href="mailto:finin%40cs.umbc.edu">[email protected]<wbr>edu</a><br>
- Anupam Joshi, UMBC, <a href="mailto:joshi%40cs.umbc.edu">[email protected]<wbr>edu</a><br>
- Akshay Java, UMBC, <a href="mailto:aks1%40cs.umbc.edu">[email protected]<wbr>edu</a><br>
<br>
Social Media tools like blogs, wikis and social networking sites are<br>
providing new opportunities for us to connect and interact with each<br>
other. Many social theories that could once be researched only by<br>
conducting expensive surveys can now be studied and modeled due to the<br>
easy availability of large scale social annotations and explicit<br>
description of social relationships online. The rate at which blogs,<br>
videos, bookmarks and many other user generated content is growing<br>
presents several interesting research and data management<br>
questions. The opportunity to mine social media content for analyzing<br>
opinions, sentiments and trend identification has several applications<br>
in Web search, personalization, business intelligence and national<br>
security. This special issue of the International Journal of<br>
Distributed and Parallel Databases invites original research<br>
contributions on data management in social media. Topics include but<br>
are not restricted to<br>
<br>
- community detection and evolution in social media<br>
- recommendation systems<br>
- search in social media<br>
- event detection, trend identification and tracking in social media<br>
- influence, trust and reputation in social media<br>
- opinion/sentiment analysis, polarity identification<br>
- feed distillation and ranking blogs<br>
- mining microblogging and real time data<br>
- folksonomy, tag semantics, clustering and usage<br>
- advertising models for the social web<br>
- indexing social media content, index freshness<br>
- visualizing social network data<br>
- spam detection, social network spam and profile spam<br>
<br>
Manuscripts must be submitted by January 15, 2009 and should not<br>
exceed 25 pages in length. Authors will be notified by April 15 and<br>
camera ready copy will be due May 15. Submit papers online at<br>
<a href="http://dapd.edmgr.com/">http://dapd.<wbr>edmgr.com/</a> specifying article type "S.I.: Data Management<br>
for the Social Web". For more information, contact Anupam Joshi at<br>
<a href="mailto:joshi%40cs.umbc.edu">[email protected]<wbr>edu</a>.<br>
<br>
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