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Title:
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USING DATA WAREHOUSING AND DATA MINING TECHNIQUES FOR THE DEVELOPMENT OF DIGITAL LIBRARIES FOR LMS |
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Author(s):
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Cassia Blondet Baruque , Rubens Nascimento Melo |
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ISBN:
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972-99353-0-0 |
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Editors:
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Pedro Isaías and Nitya Karmakar |
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Year:
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2004 |
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Edition:
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1 |
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Keywords:
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E-Learning, Digital Library, Data Warehouse, Data Mining Learning Objects. |
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Type:
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Full Paper |
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First Page:
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227 |
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Last Page:
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234 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Learning Management Systems (LMS) would be more complete if they could offer, as one of its components, a specific library to the students and teachers who are cooperating in this e-learning environment. We propose a manner to the development of Digital Libraries (DL), using Data Warehousing (DWing) and Data Mining (DMining) Techniques. This DL will be a component of an E-learning environment and will assist the students in a specified course. This will help them in their studies and researches, once the Web will be already filtered by the Data Mining techniques on the subject they need to study. 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 a certain criteria - the course, for example) like Department Libraries. The retrieval of the DL documents by students will be made through OLAP (On-Line Analytical Processing) techniques based on the DL catalog, which is modeled multidimensionally 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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