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SIGMOD
2009
ACM
143views Database» more  SIGMOD 2009»
15 years 10 months ago
Data integration in mashups
Mashup is a new application development approach that allows users to aggregate multiple services to create a service for a new purpose. Even if the Mashup approach opens new and ...
Giusy Di Lorenzo, Hakim Hacid, Hye-Young Paik, Bou...
ICSOC
2009
Springer
15 years 2 months ago
End-to-End Security for Enterprise Mashups
Abstract. Mashups are gaining momentum as a means to develop situational Web applications by combining different resources (services, data feeds) and user interfaces. In enterpris...
Florian Rosenberg, Rania Khalaf, Matthew J. Duftle...
CIKM
2006
Springer
15 years 1 months ago
k nearest neighbor classification across multiple private databases
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
Li Xiong, Subramanyam Chitti, Ling Liu
ICWS
2010
IEEE
14 years 8 months ago
Enhancing Scalability and Performance of Mashups Through Merging and Operator Reordering
Abstract—Recently, mashups are gaining tremendous popularity as an important Web 2.0 application. Mashups provide end-users with an opportunity to create personalized Web service...
Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. ...
ICDE
2010
IEEE
248views Database» more  ICDE 2010»
15 years 2 months ago
MashRank: Towards uncertainty-aware and rank-aware mashups
Mashups are situational applications that build data flows to link the contents of multiple Web sources. Often times, ranking the results of a mashup is handled in a materializethe...
Mohamed A. Soliman, Mina Saleeb, Ihab F. Ilyas