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» Matching and integration across heterogeneous data sources
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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
KYOTODL
2000
122views more  KYOTODL 2000»
15 years 1 months ago
Federation Services for Heterogeneous Digital Libraries Accessing Cooperative and Non-Cooperative Sources
Today, bibliographical information is kept in a variety of digital libraries available on the Internet. The integration of bibliographical data is considered as one of the most im...
Martin Endig, Michael Höding, Gunter Saake, K...
85
Voted
DEXA
2004
Springer
110views Database» more  DEXA 2004»
15 years 5 months ago
An a Priori Approach for Automatic Integration of Heterogeneous and Autonomous Databases
Data integration is the process that gives users access to multiple data sources though queries against a global schema. Semantic heterogeneity has been identified as the most imp...
Ladjel Bellatreche, Guy Pierra, Dung Nguyen Xuan, ...
SEMWEB
2005
Springer
15 years 5 months ago
Gnowsis Adapter Framework: Treating Structured Data Sources as Virtual RDF Graphs
The integration of heterogenous data sources is a crucial step for the upcoming semantic web – if existing information is not integrated, where will the data come from that the s...
Leo Sauermann, Sven Schwarz
ESWS
2008
Springer
15 years 1 months ago
Handling Instance Coreferencing in the KnoFuss Architecture
Finding RDF individuals that refer to the same real-world entities but have different URIs is necessary for the efficient use of data across sources. The requirements for such inst...
Andriy Nikolov, Victoria S. Uren, Enrico Motta, An...