As Internet of Things (IoT) technologies become more widespread in everyday
life, privacy issues are becoming more prominent. The aim of this research is
to develop a personal assistant that can answer software engineers' questions
about Privacy by Design (PbD) practices during the design phase of IoT system
development. Semantic web technologies are used to model the knowledge
underlying PbD measurements, their intersections with privacy patterns, IoT
system requirements and the privacy patterns that should be applied across IoT
systems. This is achieved through the development of the PARROT ontology,
developed through a set of representative IoT use cases relevant for software
developers. This was supported by gathering Competency Questions (CQs) through
a series of workshops, resulting in 81 curated CQs. These CQs were then
recorded as SPARQL queries, and the developed ontology was evaluated using the
Common Pitfalls model with the help of the Prot\'eg\'e HermiT Reasoner and the
Ontology Pitfall Scanner (OOPS!), as well as evaluation by external experts.
The ontology was assessed within a user study that identified that the PARROT
ontology can answer up to 58\% of privacy-related questions from software
engineers
