Ontology for an education system and ontology based clustering

Abstract

Reference ontology is proficient to add considerably for reducing the issue of specificity of ontology applications. Predominantly taking superior education area into account, it is believed that a reference ontology committed to this expertise area can be considered as a significant tool for several stakeholders involved in examining the system of superior education as an entity, especially in the context of academic systems diversity all over the world. In this paper, the ontology construction procedure is explained from requirements elicitation procedure to the ontology assessment procedure. Reference ontology for learning field can be used as a tool for strategy development and University profiling apart from offering a non biased ranking instrument. The aim of this research work is to provide a qualitative progress over Vector Space Model (VSM)-based search by using ontology. The document clustering is done through Particle Swarm Optimization (PSO). A PSO-based ontology model of clustering knowledge documents is described and compared with the traditional vector space model. The proposed ontology-based framework provides enhanced performance and improved clustering compared to the traditional vector space model.