Title :
Architectural model for next generation content management system
Author :
Saha, Ankita ; Setua, S.K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Calcutta, Kolkata, India
Abstract :
Content Management System (CMS) is one of the recent upcoming concepts due to its efficient and explicit use in the real world applications. The demand for growth in its diversity has been documented by many researchers. Due to the limitation of traditional database management system (DBMS), which enforces limits on the type of data items need to be stored, CMS becomes the cost-effective alternative in the scope of information management. In this ever increasing data scenario we need a framework for managing and publishing all types of data with appropriate data analytics and natural language processing. Nowadays the information, especially in the Internet, consists of structured, semi-structured and unstructured data. Therefore it is unwise to think only about the use of DBMS, rather its alternative framework must be used, keeping the objectives same. The main reason for proposing a new architectural model for a content management system is that there are several important characteristics that CMSs should have to provide opportunity to specific optimizations [1]. Our “Next Generation CMS model” includes functionalities like multi-language, copyright, multichannel publishing, natural language processing, garbage collection management which are not included in the traditional ones.
Keywords :
content management; copyright; database management systems; natural language processing; software architecture; storage management; DBMS; architectural model; copyright; data analytics; data item storage; data management; data publishing; data scenario; database management system; garbage collection management; information management; multichannel publishing; multilanguage functionality; natural language processing; next-generation CMS model; next-generation content management system; real world applications; semistructured data; unstructured data; Content management; Data mining; Internet; Natural language processing; Next generation networking; Security; Copyright Management; Data Analytics(DA); Fragmentation Management; Garbage Collection; Language Management; Multichannel Publishing; Natural Language Processing(NLP);
Conference_Titel :
Electrical and Computer Engineering (ICECE), 2014 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-4167-4
DOI :
10.1109/ICECE.2014.7026859