PARROT Ontology Technical Report

Alkhariji, Lamya, De, Suparna, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 and Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346 2022. PARROT Ontology Technical Report. [Technical Report]. Cardiff: Cardiff University.

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Abstract

As the Internet of Things (IoT) technologies are becoming widespread in our lives, privacy issues are significantly raising to the surface. The aim of this research is to develop a personal assistant that is able to answer software engineers questions about privacy practices during the design phase. Thus, there is a demanding need to develop a method that assists software developers to understand and apply the Privacy by Design (PbD) practices into their systems. We used semantic web technologies to model the knowledge of PbD schemes, their intersections with Privacy Patterns, IoT system needs, and the Privacy Patterns that should be applied in these IoT systems. In this paper, we are introducing the PARROT ontology that combines these pieces of knowledge. To assemble the PARROT ontology’s requirements, we first associated many real-world IoT use cases with a set of well-known Privacy Patterns that should be applied by the software developers. Then, we gathered Competency Questions (CQs) about these IoT use cases from researchers and software developers throw a series of workshops we conducted, and we curated with 81 CQs to be modeled. We proved the validation of the PARROT ontology and evaluated it with the Common Pitfalls with the help of Protégé & HermiT Reasoner, Ontology Pitfall Scanner (OOPS!), and external experts. We demonstrated the use of the PARROT ontology by user based study and found that the PARROT ontology is able to answer up to 58% of software engineers' questions.

Item Type:	Monograph (Technical Report)
Date Type:	Submission
Status:	Unpublished
Schools:	Computer Science & Informatics
Publisher:	Cardiff University
Last Modified:	30 Nov 2022 07:37
URI:	https://orca.cardiff.ac.uk/id/eprint/149337

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