The Mashup Relevant Content Module for Content Management System (CMS)

Good content management system or better known as smart content management system can be done in various ways. One of them is by presenting information which relevant to the main content (relevant content). The current problem is that Content Management Systems (CMS) only integrate information without considering the relevant content. The information are either as articles, pictures, ads, and also videos. Relevant content candidates can be obtained from internal or external the system (mashup). The internal system means that the relevant content candidates are obtained from the database of the system. Meanwhile, the external system means that the relevant content candidates are obtained from various websites on the internet. We utilize the metadata instead of whole contents to perform the similarity calculation. We propose the module similarity-mashup to obtain the relevant content into the existing CMS. The relevant contents are obtained by calculating the metadata similarity between the relevant content candidates and the main content. The experimental results show that the module well integrated on the current CMS. Therefore, it shows that the using of metadata is a promising approach to do a mashup.