H. Ling

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Data set allocation in today's multilevel storage systems is usually based on qualitative, ad hoc decisions. While it would be desirable to obtain an optimal solution to this allocation problem, it is clear that the number of parameters involved makes it intractable to straight-forward solution. In such a situation, we must find a set of assumptions which(More)
With the growth of the semantic web, it is necessary to provide huge amounts of data in a form and language that may be machine processable. However, large amounts of data in legacy systems are stored in relational databases. This paper proposes an approach of translating relational databases in form of the resource description framework, which is a machine(More)
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