GLOSSING THE INFORMATION FROM DISTRIBUTED DATABASES

Internet provides huge amount of useful information which is align into a format for users. Here we observe the difficulty for extraction of relevant data from different sources. Relevant data transform into structured format. Structured format contains only necessary information. The motivation behind in the system provides the compressed results which are meaningful based on concept and category. Different applications store the information in huge databases. Users are access the information from web databases based on concept wise. Single dimension concept based results are not meaningful. Meaningless records are aligning into web interfaces. In this paper we propose to extract the records with two dimensions. Those dimensions are concept and category. Using these two dimensions we organize the records into a structured format and provide the meaningful results to the users. Compare to concept we get the better results with concept and category dimensions.

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