Uncertainty in categorical data is commonplace in many applications, including data cleaning, database integration, and biological annotation. In such domains, the correct value o...
Sarvjeet Singh, Chris Mayfield, Sunil Prabhakar, R...
Provenance management has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow enviro...
Artem Chebotko, Xubo Fei, Cui Lin, Shiyong Lu, Far...
Entity linkage is central to almost every data integration and data cleaning scenario. Traditional techniques use some computed similarity among data structure to perform merges a...
Ekaterini Ioannou, Wolfgang Nejdl, Claudia Nieder&...
Software systems are designed and engineered to process data. However, software is data too. The size and variety of today's software artifacts and the multitude of stakehold...
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...