Research Progress of Personalized Content Management System-Reference-Cited by-同舟云学术

Research Progress of Personalized Content Management System

Published:2011-10 Issue: Volume:135-136 Page:862-866
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Yu Bao Fu¹,Wang Zhi Kang¹,Fang Xian²,Ye Zhi Qian¹

Affiliation:

1. Zhejiang University

2. Zhejiang Greenlander Info. Tech. Co., Ltd.

Abstract

Personalized content management system (PCMS) is an information management and sharing platforms, which is personalized, stable, efficient and extensible. Often any people need to search for suitable bits of information by sifting through many documents which can be very tiring and time-consuming. PCMS is the system that may answer this need. In this paper, the architecture, features of PCMS and key technologies in the field of PCMS research are analyzed. After concluding the popular spots and current status, the future development trends of PCMS are indicated..

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.135-136.862.pdf

Reference9 articles.

1. Shaofeng Liu, Chris McMahon Mansur Darlington Steve Culley Peter Wild, A Content Management System for Engineering Document. International Journal of Automation and Computing , January 2007, 56-70 DOI: 10. 1007/s11633-007-0056-x.

2. H. Ragab Hassen, A. Bouabdallah, H. Bettahar, Y. Challal, Key management for content access control in a hierarchy, Computer Networks 51 (2007) 3197–3219, doi: 10. 1016/j. comnet. 2006. 12. 011.

3. Gábor Knapp and Tamás Rév, Information Management Between Academic and Internet Communities. Information Systems Development: Challenges in Practice, Theory, and Education, Vol. 2, doi: 10. 1007/978-0-387-78578-3_33.

4. Jiang Zi-jing, The Analysis and Design of the Content Management System based on J2EE, 2009 International Conference on Signal Processing Systems. DOI 10. 1109/ICSPS. 2009. 213.

5. Naveen Aggarwal, Nupur Prakash, and Sanjeev Sofat, Content Management System Effort Estimation Model based on Object Point Analysis, International Journal of Computer Science and Engineering 2: 4 (2008).