Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
Efficient search for association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
The national SMETE digital library program (panel session)
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
On detecting differences between groups
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
OPUS: an efficient admissible algorithm for unordered search
Journal of Artificial Intelligence Research
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The LO-DL (Learning Objects Digital Library) Project is being developed at PUC-Rio in the Database Tecnology Lab (TECBD). This Project aims at integrating LOs repositories through their metadata in a uniform catalog or Digital Libray (DL), making it transparent to the users their locations and characteristics. The process of digital library development includes issues such as the integration of several databases. Moreover, access to the DL (Digital Library) must be assisted by the use of content hierarchies that guide the user in the discovery and filtering of information of his/her interest. In this work we propose a new approach for developing Digital Libraries of Learning Objects using a Data Warehousing Architecture, which is a method that addresses both issues mentioned above. We make comparisons between the components and services of both the Data Warehousing and the "Digital Librarying" Architectures. Furthermore, we suggest the use of Data Mining Techniques in some steps of the building and utilization of the DL. In particular we will detail the users profiles analysis process which uses the library access log and a data mining tool for the library automatic refresh. We propose the use of association rules for the detection of the users needs so that the system can then search and make the new LOs available in the next loading (refresh) of the library. The supporting database which contains the Ontology (in our case a Taxonomy) of the LOs of interest is also described in the paper.