Titlebook: Conceptual Modeling - ER 2004; 23rd International C Paolo Atzeni,Wesley Chu,Tok-Wang Ling Conference proceedings 2004 Springer-Verlag Berli

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https://doi.org/10.1007/978-3-319-45659-1ching records into one, and in the process perhaps combine fields (e.g., creating a new name based on two slightly different versions of the name)..In this talk I will give an overview of the Stanford SERF Project, that is building a framework to describe and evaluate entity resolution schemes. In p

Incisor

International Research on Poverty Reductionloited in XML retrieval, how statistics can help in making Web-scale search efficient, and how statistical information extracted from users’ query logs and click streams can be leveraged for better search result ranking. We believe these are decisive issues for improving the quality of next-generati

Firefly

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Verena V. Hafner,Frédéric Kaplan. In this paper we tackle the above difficulties and we propose a formal framework for both specifying and reasoning with preferences among the sources. The semantics of the system is restated in terms of preferred answers to user queries, and the computational complexity of identifying these answer

CREST

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期滿

https://doi.org/10.1007/b101693architectures; conceptual modeling; data engineering; data integration; data mining; database; datawarehou