Name
Abstract | ||
|---|---|---|
With the development of network technology, the amount of information on network has been exploded. How to effectively make use of the web information resource has been an important problem which need to be solved. Facing the problem, scholars have some works on web information integration. But these studies mainly pay attention to specific domain information integration, such as news field, movie field, music field, blog field, and so on. There are few studies on information collection towards educational field. In this paper we propose an education-oriented approach for integrating test questions towards a special course. The method is based on a textbook's name and authors' information, and integrate the textbook's catalog and test questions automatically from Web, then computing the similarity between catalog of the textbook and test questions for classification, reaching to the purpose of building test question library by automatic method. Based on the method, we develop a prototype system. The precision and feasibility of the method have been verified by experiments. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SKG.2014.33 | SKG |
Keywords | Field | DocType |
test question library,special course,information collection,integration,test question,education-oriented approach,textbook name information,educational courses,news field,web,blog field,textbook authors information,internet,educational administrative data processing,movie field,network technology,web information integration,classification,textbook catalog,test question, integration, web,data integration,educational field,web information resource,test questions,cataloguing,network information,music field,vectors,sections,database systems | Data science,Data mining,Information integration,World Wide Web,Computer science,Web information | Conference |
ISSN | Citations | PageRank |
2325-0623 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biao Ren | 1 | 0 | 0.34 |
| Yukun Li | 2 | 25 | 7.06 |
| Shugang Tang | 3 | 0 | 0.34 |
| Chengyi Xia | 4 | 149 | 20.94 |