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 ...
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...
Managing semantic heterogeneity is a complex task. One solution involves matching like terms to each other. We view Match as an operator that takes two graph-like structures (e.g....
Pavel Shvaiko, Fausto Giunchiglia, Paulo Pinheiro ...
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
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, ...