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» Evaluating very large datalog queries on social networks
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EDBT
2009
ACM
156views Database» more  EDBT 2009»
13 years 9 months ago
Evaluating very large datalog queries on social networks
We consider a near future scenario in which users of a Web 2.0 application, such as a social network, contribute to the application not only data, but also rules which automatical...
Royi Ronen, Oded Shmueli
ASWC
2009
Springer
13 years 7 months ago
Social Semantic Rule Sharing and Querying in Wellness Communities
In this paper we describe the Web 3.0 case study WellnessRules, where ontology-structured rules (including facts) about wellness opportunities are created by participants in rule l...
Harold Boley, Taylor Michael Osmun, Benjamin Larry...
PVLDB
2008
205views more  PVLDB 2008»
13 years 3 months ago
Making SENSE: socially enhanced search and exploration
Online communities like Flickr, del.icio.us and YouTube have established themselves as very popular and powerful services for publishing and searching contents, but also for ident...
Tom Crecelius, Mouna Kacimi, Sebastian Michel, Tho...
KDD
2010
ACM
214views Data Mining» more  KDD 2010»
13 years 8 months ago
Neighbor query friendly compression of social networks
Compressing social networks can substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks should be compressed in a way that they...
Hossein Maserrat, Jian Pei
CSE
2009
IEEE
13 years 11 months ago
Private Buddy Search: Enabling Private Spatial Queries in Social Networks
—With the abundance of location-aware portable devices such as cellphones and PDAs, a new emerging application is to use this pervasive computing platform to learn about the wher...
Ali Khoshgozaran, Cyrus Shahabi