TY - GEN
T1 - A semantics based information distribution framework for large web-based course forum system
AU - Chim, Hung
AU - Jiang, Min
AU - Deng, Xiaotie
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2006
Y1 - 2006
N2 - We propose a novel data distribution framework for developing a large Web-based course forum system. In the distributed architectural design, each forum server is full equipped with ability to support some course forums independently. The forum servers collaborating with each other constitute the whole forum system. Therefore the workload of the course forums can be shared by a group of the servers. With the secure group communication protocol and fault tolerance design, the new distribution framework provides a robust and high performance distributed architecture for the large course forum system. The forum servers can be settled in anywhere as long as a broadband network connection to Internet is provided. Our experimental performance testing results show that the large forum system is a high performance distributed system with low network overhead cost. In addition, a semantics based clustering algorithm is developed to classify the courses by the content relevance of their teaching material. Relevant course forums can be arranged on the same forum server together. Hence our distribution framework also provides a knowledge-based taxonomic storage solution to build a large course teaching material digital library. © Springer-Verlag Berlin Heidelberg 2006.
AB - We propose a novel data distribution framework for developing a large Web-based course forum system. In the distributed architectural design, each forum server is full equipped with ability to support some course forums independently. The forum servers collaborating with each other constitute the whole forum system. Therefore the workload of the course forums can be shared by a group of the servers. With the secure group communication protocol and fault tolerance design, the new distribution framework provides a robust and high performance distributed architecture for the large course forum system. The forum servers can be settled in anywhere as long as a broadband network connection to Internet is provided. Our experimental performance testing results show that the large forum system is a high performance distributed system with low network overhead cost. In addition, a semantics based clustering algorithm is developed to classify the courses by the content relevance of their teaching material. Relevant course forums can be arranged on the same forum server together. Hence our distribution framework also provides a knowledge-based taxonomic storage solution to build a large course teaching material digital library. © Springer-Verlag Berlin Heidelberg 2006.
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U2 - 10.1007/11925293_9
DO - 10.1007/11925293_9
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 3540490272
SN - 9783540490272
VL - 4181 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 92
EP - 104
BT - Advances in Web Based Learning: ICWL 2006 - 5th International Conference. Revised Papers
PB - Springer Verlag
T2 - 5th International Conference on Web Based Learning, ICWL 2006
Y2 - 19 July 2006 through 21 July 2006
ER -