IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Landmarks: A New Model for Similarity-Based Pattern Querying in Time Series Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Finding recent frequent itemsets adaptively over online data streams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Optimizing Top-k Selection Queries over Multimedia Repositories
IEEE Transactions on Knowledge and Data Engineering
Supporting sliding window queries for continuous data streams
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Google's PageRank and Beyond: The Science of Search Engine Rankings
Google's PageRank and Beyond: The Science of Search Engine Rankings
Use of contextualized attention metadata for ranking and recommending learning objects
CAMA '06 Proceedings of the 1st international workshop on Contextualized attention metadata: collecting, managing and exploiting of rich usage information
Enhancing Reusability of Learning Objects with Object-Oriented Inheritance Relationships
ICPPW '07 Proceedings of the 2007 International Conference on Parallel Processing Workshops
Relevance Ranking Metrics for Learning Objects
IEEE Transactions on Learning Technologies
The Ariadne Infrastructure for Managing and Storing Metadata
IEEE Internet Computing
Extending CORDRA for systematic reuse
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
Ubiquitous e-Learning With Multimodal Multimedia Devices
IEEE Transactions on Multimedia
The second ACM international workshop on multimedia technologies for distance learning (MTDL 2010)
Proceedings of the international conference on Multimedia
Learning object retrieval in heterogeneous environments
International Journal of Web Engineering and Technology
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With the development of internet and search engine, users are thought to obtain everything through corresponding web services. Although general purpose searching such as one provided by Google is powerful, searching mechanism for different purposes has to rely on specific metadata. We followed SCORM and CORDRA to develop a registry system named MINE Registry for storing and managing the learning objects. As a contribution, we propose the concept of "Reusability Tree" to represent the relationships among relevant Learning Objects and to enhance CORDRA. We further collect relevant information while users are utilizing Learning Objects, such as citations and time period persisted. The feedbacks from community users are also considered as critical elements for evaluating significance degree of Learning Objects. Through these factors, we propose a mechanism to weight and rank Learning Objects in the MINE Registry, in addition to other external learning objects repositories.