Clustering technique for information requirement prioritization in specific CMSs

Abstract

Flexibility of CMS for managing contents is one of the main reason why CMSs are widely used by content publishers. The challenge behind the flexibility of CMS is how to create a CMS specific to a particular business domain. The usual CMS facilitate users for managing the content without the guidance about organization of information that will be published. However, the information itself usually specific for a particular business domain. So, there is an opportunity to develop specific CMS that already contains the organization of information required by readers in specific business domain. Information requirements organization define the presentation order of information by considering their level of importance. In this paper, we present an approach to information requirement prioritization for specific CMS development using clustering technique. We experiment this approach in a case study of an airport CMS using k-means clustering technique. We use four clusters represents the level of information importance: very important, important, less important and not necessary. The clustering result is interpreted to get the prioritization order of the information items by using the average value.