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 Web Content Management Systems used by Search Engine Optimization Experts for Top Rankings in Search Engine Result Pages

2021 ◽  
Vol 20 ◽  
pp. 207-216
Author(s):  
Christos Ziakis ◽  
Maro Vlachopoulou
Keyword(s):  
Search Engine ◽  
Relevant Literature ◽  
Content Management ◽  
Management Systems ◽  
Web Content ◽  
Search Engine Optimization ◽  
Search Results ◽  
Custom Made ◽  
Search Engine Result ◽  
Content Management Systems

There are several Web Content Management Systems (WCMS) available that are used by web developers in order to develop and manage a website. In addition, over the last years, companies have invested in Search Engine Optimization (SEO) techniques by applying the factors used by search engines, such as Google, in order to rank amongst the first results in Search Engine Results Pages (SERPs). On-page factors such as the implementation of keywords in the title tags and the website loading time are amongst the criteria that are taken into consideration and are directly affected by the website’s technology and WCMS. Following a relevant literature review, the authors conducted research amongst 6682 websites in order to identify whether and which WCMS is used by SEO experts’ websites that appear in the top search results. Findings indicated that custom made websites that do not rely on widely used WCMSs appear more frequently at the top of search results, while the Drupal CMS appears quite high, despite it being used by a small number of websites across the web.

Ontology-Supported Web Content Management

2005 ◽  
pp. 203-223
Author(s):  
Geun-Sik Jo ◽  
Jason J. Jung
Keyword(s):  
Semantic Web ◽  
Electronic Commerce ◽  
Case Studies ◽  
Relevant Information ◽  
Content Management ◽  
Management Systems ◽  
Web Content ◽  
Content Management Systems ◽  
The Web

This chapter introduces the ontology-supported Web content management. Since the Web was regarded as one of the most important tools for searching relevant information, many studies have been attempting to develop efficient and accurate management of Web content and resources. We have been focusing on how to exploit the ontology to support semantic conceptualization of information on the Web. Especially, the emergence of semantic Web emphasizes the importance of the ontological processes. In this chapter, we will mention content management systems on the semantic Web, and then, we will introduce two applications from viewpoints of personalized content and electronic commerce as case studies.

An Innovative Approach

2014 ◽  
Vol 4 (2) ◽  
pp. 18-27 ◽  
Author(s):  
Ilko Tsonev Iliev ◽  
Svetlana Zhelyazkova Vasileva
Keyword(s):  
Human Activity ◽  
Web Sites ◽  
Content Management ◽  
Management Systems ◽  
The Internet ◽  
Electronic Textbooks ◽  
Electronic Textbook ◽  
Multimedia Resources ◽  
Content Management Systems ◽  
The Web

The Content management systems (CMS) automates and facilitates the process of adding and modifying the contents of the Web sites, organization, control and publication of a large number of documents and other content, such as images and multimedia resources. CMS is attractive for specialists in various fields of human activity who want to publish on the Internet, but have little knowledge in computer programming and web-programming in particular. The article views some opportunities provided by CMS Drupal for designing and making electronic textbooks, in an example of electronic textbook on Spreadsheets.

scholarly journals Big Data Analytics for Search Engine Optimization

2020 ◽  
Vol 4 (2) ◽  
pp. 5 ◽  
Author(s):  
Ioannis C. Drivas ◽  
Damianos P. Sakas ◽  
Georgios A. Giannakopoulos ◽  
Daphne Kyriaki-Manessi
Keyword(s):  
Big Data ◽  
Cultural Heritage ◽  
Search Engine ◽  
Data Analytics ◽  
User Behavior ◽  
Big Data Analytics ◽  
Data Types ◽  
Search Engine Optimization ◽  
The Impact ◽  
The Web

In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and improve visibility and findability on the Web. In this respect, big data analytics expands the opportunities for developing new methodological frameworks that are composed of valid, reliable, and consistent analytics that are practically useful to develop well-informed strategies for organic traffic optimization. In this paper, a novel methodology is implemented in order to increase organic search engine visits based on the impact of multiple SEO factors. In order to achieve this purpose, the authors examined 171 cultural heritage websites and their retrieved data analytics about their performance and user experience inside them. Massive amounts of Web-based collections are included and presented by cultural heritage organizations through their websites. Subsequently, users interact with these collections, producing behavioral analytics in a variety of different data types that come from multiple devices, with high velocity, in large volumes. Nevertheless, prior research efforts indicate that these massive cultural collections are difficult to browse while expressing low visibility and findability in the semantic Web era. Against this backdrop, this paper proposes the computational development of a search engine optimization (SEO) strategy that utilizes the generated big cultural data analytics and improves the visibility of cultural heritage websites. One step further, the statistical results of the study are integrated into a predictive model that is composed of two stages. First, a fuzzy cognitive mapping process is generated as an aggregated macro-level descriptive model. Secondly, a micro-level data-driven agent-based model follows up. The purpose of the model is to predict the most effective combinations of factors that achieve enhanced visibility and organic traffic on cultural heritage organizations’ websites. To this end, the study contributes to the knowledge expansion of researchers and practitioners in the big cultural analytics sector with the purpose to implement potential strategies for greater visibility and findability of cultural collections on the Web.

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
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