Developing Digital Libraries Using Data Warehousing and Data Mining Techniques

نویسندگان

  • Cássia Blondet Baruque
  • Rubens Nascimento Melo
چکیده

We propose a manner to develop Digital Libraries (DL), using Data Warehousing (DWing) and Data Mining (DMining) Techniques. This DL will be a component of an Elearning environment and will assist the students in a specified course. This will help them in their studies and researches, once the Web will be filtered by Data Mining techniques on the subject they need. We propose components of the Data Warehousing architecture on which Data Mining techniques can be applied. The Data Warehouse will be like a Central Library and the Data Marts (portions of the Data Warehouse separated by certain criteria) like Departmental Libraries. The retrieval of the DL documents by students will be made through OLAP (On-Line Analytical Processing) techniques based on the DL catalog, whose model is multidimensional and based on the Dublin Core metadata elements. A discussion of the DL automatic refreshing based on information collected on the students’ interactions is also presented.

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تاریخ انتشار 2004