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» A Data Model for Data Integration
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SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 2 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
SEMWEB
2010
Springer
14 years 7 months ago
Fusion - Visually Exploring and Eliciting Relationships in Linked Data
Building applications over Linked Data often requires a mapping between the application model and the ontology underlying the source dataset in the Linked Data cloud. This mapping ...
Samur Araújo, Geert-Jan Houben, Daniel Schw...
CLEANDB
2006
ACM
142views Database» more  CLEANDB 2006»
14 years 11 months ago
QUEST: QUery-driven Exploration of Semistructured Data with ConflicTs and Partial Knowledge
An important reality when integrating scientific data is the fact that data may often be "missing", partially specified, or conflicting. Therefore, in this paper, we pre...
Yan Qi 0002, K. Selçuk Candan, Maria Luisa ...
ICCS
2007
Springer
15 years 3 months ago
Building a Dynamic Data Driven Application System for Hurricane Forecasting
The Louisiana Coastal Area presents an array of rich and urgent scientific problems that require new computational approaches. These problems are interconnected with common compon...
Gabrielle Allen
VLDB
1994
ACM
127views Database» more  VLDB 1994»
15 years 1 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton