Background
Type: Article

University social responsibility ontology

Journal: Engineering Intelligent Systems (14728915)Year: 2013/12/01Volume: Issue: 4
Esfijani A.aHussain, FarookhKhadeerChang, Elizabeth
Language: English

Abstract

This paper draws on the existing body of knowledge to develop an ontology for university social responsibility (USR). There are numerous terms and definitions for USR in the existing literature. However, there is no consensus among them. In order to address this issue, we used a semi-automated text mining approach for ontology engineering. The developed ontology covered USR and its associated terms by which social responsibilities of a university to its communities have been described in the existing literature. The developed ontology, which is an explicit specification of USR concept, its components and their relationships, can contribute to develop a unified understanding of the concept for measurement purposes. © 2013 CRL Publishing Ltd.


Author Keywords

OntologyText-miningUniversity social responsibility (usr)Data miningOntology