Title
Design and implementation of e-journal review system using text-mining technology
Abstract
With the advancement in information communication technology and the concept of the Web 2.0 framework, the e-learning becomes more popular and more diverse. In the last decade, the publication of journal papers has become a major channel for the outcome of researchers' studies. But, the current submission method of the international journal papers is mostly handled by traditional paper review process. As the submitted articles increase the burden of paper reviewing process gets heavy. It is not only time-consuming and laborious, but cannot find proper reviewers to review the specific manuscripts in some cases. Sometimes, the assignment of papers to specific reviewers is not objective enough. Thus, this study is based on the design concept of content management, CMS, to develop an online collaborative electronic journal paper review system. We adopt rich internet application, RIA, technology to web application development and apply text mining technologies to articles classification. We propose an assignment mechanism of paper reviews to achieve the automatic, fair and efficient paper reviewers' assignment. Expect the study will effectively simplify the complex assignment process and make the review work more objective and efficient.
Year
DOI
Venue
2010
10.1007/978-3-642-16696-9_23
ICCCI (3)
Keywords
Field
DocType
complex assignment process,text-mining technology,assignment mechanism,journal paper,e-journal review system,paper review system,review work,online collaborative electronic journal,traditional paper review process,paper review,international journal paper,efficient paper reviewer,text mining,rich internet application,web application development,information communication technology,content management
Data mining,World Wide Web,Text mining,Computer science,Communication channel,Web application development,Information and Communications Technology,Content management,Rich Internet application
Conference
Volume
ISSN
ISBN
6423
0302-9743
3-642-16695-4
Citations 
PageRank 
References 
1
0.39
3
Authors
4
Name
Order
Citations
PageRank
Chun-Wei Tseng1133.76
Feng-jung Liu273.97
Wan-Chin Lu310.39
Shih-Hao Huang4399.31