Invisible Web and Academic Research: A Partnership for Quality

Abstract

The present study aims to identify the most significant roles of the invisible web in improving academic research and the main obstacles and challenges facing the use of the invisible web in improving academic research from the perspective of academics in Saudi universities. The descriptive analytical approach was utilized in this study. It covered all faculty members in Saudi universities. It applied a 20-paragraph questionnaire to a randomly selected sample of 168 academics. It concluded that the participants agreed on the role of the invisible web in improving academic research, with an arithmetic means of 3.91. They also agreed on the obstacles of using invisible web for the improvement of academic research, with an arithmetic means of 4.107. The study provides ideas that would develop the use of the invisible web in higher education institutions in Saudi Arabia, in particular, and the Arab countries, in general. Furthermore, it is hoped that such results may provide decision-makers, educational designers and programmers with solutions for the development of research engines and academic databases in Arabic.

Analysis of the SEO visibility of university libraries and how they impact the web visibility of their universities

“…Some proposals to facilitate this adaptation have been made, e.g., facilitating the indexing of online public access catalogues (OPACs) (Lewandowski, 2010) or promoting the semantic identity of libraries (Arlitsch, 2017;Arlitsch, OBrien, Clark, Young, & Rossmann, 2014). Contrasting with this openness to search engines, web invisibility has been defended by some researchers, who point to benefits in finding accurate and quality information in the shortest possible time, despite the need for specialist personnel (Alyami & Assiri, 2018;Devine & Egger-Sider, 2004;Su, 2009). This is especially important in sectors like medicine, where quality and up-to-date information is vital.…”

Development of relational construction for the GESR database

“…The search engine in the database is a technology that helps to access the information resources and consists of three main elements of the robot, Index and finally the Interface Search (Alyami and Assiri, 2018). The search engine develops methods of sorting results according to the research topic.…”