A Development of an Ontology-based Personalised Web from Rice Knowledge Website

Abstract

This paper presents a method to modify static content-based website to a personalised web using an ontology as intermediary. Complex knowledge in the content-based website is engineered to ontology schema. With the ontology to represent knowledge schema, web pages are treated as instances to the categorical concepts. The properties in the ontology are to provide specification of textual details of the page. With a few simple initial questions, personal information is acquired to define relevant contents exclusively for individual user. In this work, the case study is a development of personalised rice farming content website. The developed personalised web is designed to filter relevant pages matched to user and to form a link between webpages following ontology schema for assisting tacit relation from the original site. The experiment shows that the personalised web performed better than the original in terms of ease of content navigation and providing relations of tacit knowledge level as users spent less time in query. Moreover, users were satisfied with the exclusive content for individual with the 4.43 satisfaction score in a scale in range of 1 to 5.