Probability Database Classification Matching Model Based on the Semantic WEB Service

Provided by: Binary Information Press
Topic: Data Management
Format: PDF
The data in traditional relation database is accurate, however, modern applications need to use a lot of data which are inaccurate and has a certain credibility probability. The existing query mechanisms on the probability data have not take into account the user personalization factors, which causes the too many number of return tuple. Many of small probability data do not accord with the potential requirement of users. Based on the application requirements, in order to return the most probability data to user, this paper provides a classification matching model of probability database based on the semantic web service.

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