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» Matching and integration across heterogeneous data sources
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SEMWEB
2009
Springer
15 years 11 months ago
Enrichment and Ranking of the YouTube Tag Space and Integration with the Linked Data Cloud
The increase of personal digital cameras with video functionality and video-enabled camera phones has increased the amount of user-generated videos on the Web. People are spending ...
Smitashree Choudhury, John G. Breslin, Alexandre P...
VLDB
2002
ACM
166views Database» more  VLDB 2002»
15 years 6 months ago
COMA - A System for Flexible Combination of Schema Matching Approaches
Schema matching is the task of finding semantic correspondences between elements of two schemas. It is needed in many database applications, such as integration of web data source...
Hong Hai Do, Erhard Rahm
GI
2010
Springer
15 years 4 months ago
Comparing Similarity Combination Methods for Schema Matching
: A recurring manual task in data integration or ontology alignment is finding mappings between complex schemas. In order to reduce the manual effort, many matching algorithms for ...
Eric Peukert, Sabine Maßmann, Kathleen K&oum...
DAWAK
2006
Springer
15 years 10 months ago
A Versioning Management Model for Ontology-Based Data Warehouses
More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of the...
Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra
DEXA
2009
Springer
201views Database» more  DEXA 2009»
16 years 27 days ago
Dynamic Query Processing for P2P Data Services in the Cloud
With the trend of cloud computing, data and computing are moved away from desktop and are instead provided as a service from the cloud. Data-as-a-service enables access to a wealth...
Pawel Jurczyk, Li Xiong