A grid-based distributed computing environment for automatic concept extraction and content supporting service

This paper proposes an automatic concept extraction and content supporting service, called ACECSS. The service sends a large number of question items to the word segmentation system of Academia Sinica, Taiwan to split each question item into terms. Then, a database of terms is created, and the sequence relation of terms is found. After that, ACECSS will automatically extract concepts associated with each question item when teachers edit or students read the examination sheet. The concepts can even be sent as queries to a search engine to get more contents to aid learning. In addition, ACECSS is able to automatically rank the relations between the learning contents based on the similarity between the learning contents, the number of times the learning contents are accessed, and voting by the user of the learning contents. Moreover, the computations of similarity are distributed using grid computing technology. As such, the service described herein can aid the users of the service to learn much quicker and better.