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Entities often hold more than one representation with some expressive errors in different data sources in the real world. Different representations and a few possible expressive errors make entities identifying a crucial task in data integration and data cleaning, which is known as entity resolution. We propose a novel approach for entity resolution using genetic programming named Entity Resolution...
As Deep Web contains tremendous well-structured data sources, how to integrate data sources in Deep Web has become a hotspot in current research. Accurately discovering and identifying Deep Web data sources related to a specific domain become key issues. We propose a Domain-Oriented Deep Web data source Discovery method (DO-DWD) and a novel Domain Identification strategy of Deep Web data sources (DIDW)...
As Moore's law comes to an end, multi-processor (MP) systems are becoming increasingly important in embedded systems design, hence real-time schedulability analysis for MP systems has become an important research topic. In this paper, we present an exact method for schedulability analysis of global multiprocessor scheduling with either fixed-priority (FP) or earliest-deadline-first (EDF) algorithms...
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