Evaluating the Readability of Scientific Web Pages Using Intelligent Analysis Tools

The World Wide Web (WWW) is a primary resource of information. With the growth of the WWW, it is not only enough to have a web presence, but also to have a highly readable website. Scientific web pages include text content, tables, graphs, charts, images, mathematical formulae that are difficult to represent in a legible manner. This study involved creating a sample scientific website. Users had to browse a sample website and answer a survey questionnaire. The survey responses were analyzed using data mining techniques from SAS Enterprise Miner to determine the main factors affecting readability of the website.