Developing Rapidly Expandable Data-driven Software Systems Based on Multitier Architecture: Examination of the Development of Modules for Content Management Systems Used to Construct Web Portals and Virtual Communities

2012 ◽  
Author(s):  
Jumie Yuventi ◽  
Jose Cortes
Keyword(s):  
Virtual Communities ◽  
Content Management ◽  
Data Driven ◽  
Management Systems ◽  
Software Systems ◽  
Web Portals ◽  
Content Management Systems

scholarly journals Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 259
Author(s):  
Ioannis Drivas ◽  
Dimitrios Kouis ◽  
Daphne Kyriaki-Manessi ◽  
Georgios Giannakopoulos
Keyword(s):  
Search Engine ◽  
Common Knowledge ◽  
Organizational Structures ◽  
Content Management ◽  
Data Driven ◽  
Management Systems ◽  
Search Engine Optimization ◽  
Optimization Methodology ◽  
Content Management Systems ◽  
The Web

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.

scholarly journals A Comparative Study of Web Content Management Systems

Information ◽  
2018 ◽  
Vol 9 (2) ◽  
pp. 27 ◽  
Author(s):  
Jose-Manuel Martinez-Caro ◽  
Antonio-Jose Aledo-Hernandez ◽  
Antonio Guillen-Perez ◽  
Ramon Sanchez-Iborra ◽  
Maria-Dolores Cano
Keyword(s):  
Comparative Study ◽  
Content Management ◽  
Management Systems ◽  
Web Content ◽  
Content Management Systems

scholarly journals On the Clouds: A New Way of Computing

2010 ◽  
Vol 29 (2) ◽  
pp. 87 ◽  
Author(s):  
Yan Han
Keyword(s):  
Cloud Computing ◽  
Low Cost ◽  
Content Management ◽  
Management Systems ◽  
Multiple Systems ◽  
Computing Services ◽  
It Project ◽  
Cloud Computing Services ◽  
Repository Software ◽  
Content Management Systems

This article introduces cloud computing and discusses the author’s experience “on the clouds.” The author reviews cloud computing services and providers, then presents his experience of running multiple systems (e.g., integrated library systems, content management systems, and repository software). He evaluates costs, discusses advantages, and addresses some issues about cloud computing. Cloud computing fundamentally changes the ways institutions and companies manage their computing needs. Libraries can take advantage of cloud computing to start an IT project with low cost, to manage computing resources cost-effectively, and to explore new computing possibilities.

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