Ontology Extraction of Digital Identity based on Domain Analysis

Abstract

Digital identity has become a significant paradigm in variety of fields such as, sociology, psychology, social studies, information science and software engineering. Digital identity, as an interdisciplinary research field has a plurality of concepts and terms. Therefore, Ontology is able to define a common cognitive literature and basis for active researchers and specialists in this field who need to share information. In this research a great effort was used to study digital identity using the qualitative method of “domain analysis” and to use a population of more than 228 information sources of scientific outcomes such as, articles, theses, identified books and reports from Google Scholar database, online encyclopedias, lectures and training videos, and other keyword-based online sources which can be accessed by keywords of this field on Google. Identification, aspect extraction and digital identity-related ontology were also conducted and the identified OWL language-based ontology was represented using OWLGrEd and webovowl software and then experts’ views were studied and reviewed ontologically. Different definitions and keywords of this field were identified by the conducted survey and the ontology of digital identity was provided. Features of digital identity was provided from 10 different aspects such as paradigms, constituent content, producers, data, identity representation, control, durability, life cycle, awareness and risk-challenge levels, and finally a new definition of digital identity was explained based on the extracted ontology from the field.

Keywords

• digital identity
• domain analysis
• ontology