COPri - A Core Ontology for Privacy Requirements Engineering

Gharib, Mohamad; Mylopoulos, John; Giorgini, Paolo

doi:10.1007/978-3-030-50316-1_28

Cited by 12 publications

(10 citation statements)

References 17 publications

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“…The fourth step is the validation. We use the method of [32] to define Competency Questions (CQs) as a set of queries that the ontology must be capable of answering in order to be considered competent for conceptualizing the domain it was intended for [33]. These CQs are asked to ontology experts to check if our ontology modules reflect what was expected of them.…”

Section: Methodsmentioning

confidence: 99%

Towards a Reference Ontology for Digital Platforms

Derave

Sales

Gailly

et al. 2020

Conceptual Modeling

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Digital platforms can be categorized into different types including 'multi-sided platform', 'digital marketplace', 'crowdfunding platform', 'sharing economy platform' and 'on-demand platform'. As there is a lack of knowledge regarding the requirements and design of these digital platform types, we developed a method to design a digital platform reference ontology based on a taxonomy. The taxonomy provides an overview of digital platform properties, with the property values expressing the possible variations between digital platforms depending on their type. For each property value, we can create a digital platform reference ontology module using the five-step approach proposed by Ruy et al. [1] based on the patterns of the Unified Foundational Ontology (UFO). UFO is a high-level ontology that provides us with basic concepts for objects, events, social elements and their types, relations and properties. These digital platform reference ontology modules can be combined as building blocks to compose our reference ontology for expressing the functionality for digital platforms of all types. We believe this reference ontology can be a step towards a better understanding of digital platform functionality, better communication between stakeholders and eventually may facilitate future research and development of digital platforms.

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Section: Methodsmentioning

confidence: 99%

Towards a Reference Ontology for Digital Platforms

Derave

Sales

Gailly

et al. 2020

Conceptual Modeling

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“…In this section, we discuss requirements that address the threats discussed in Section 2. The requirements are taken from a systematic synthesis of the current privacy and confidentiality landscape conducted by Gharib et al [20], who themselves based their work on a previous literature review [19]. The mentioned requirements are legislature agnostic but nonetheless present the opportunity to incorporate demands and elements of multiple common protection models such as the European (GDPR), Australian (Privacy Act 1988), Canadian (PIPEDA), and US legislation.…”

Section: Privacy-preserving Process Miningmentioning

confidence: 99%

Privacy and Confidentiality in Process Mining: Threats and Research Challenges

Elkoumy

Fahrenkrog-Petersen

Sani

et al. 2021

ACM Trans. Manage. Inf. Syst.

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Privacy and confidentiality are very important prerequisites for applying process mining to comply with regulations and keep company secrets. This article provides a foundation for future research on privacy-preserving and confidential process mining techniques. Main threats are identified and related to a motivation application scenario in a hospital context as well as to the current body of work on privacy and confidentiality in process mining. A newly developed conceptual model structures the discussion that existing techniques leave room for improvement. This results in a number of important research challenges that should be addressed by future process mining research.

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“…Rocha (2018) presents DKDOonto ontology for distributed software development process in support of better communication among the project team members with common and shared vocabulary. Gharib et al, (2020) present COPri ontology that discusses the privacy requirements in collecting, storing, and processing personal information. Kitchenham et al (1999) present a system maintenance ontology that also describes various private confidential and public open access data.…”

Section: Related Workmentioning

confidence: 99%

An Ontology based Framework for E-Government Regulatory Requirements Compliance

Hasan

Anagnostopoulos

Kousiouris

et al. 2019

International Journal of E-Services and Mobile Applications

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E-Government has gained an enormous amount of attention by researchers and practitioners interested in digitizing the public sector through enacting policies and regulations. Compliance of regulatory requirements from these policies and regulations is an important requirement in e-Government service development projects. However, the concepts of regulatory requirements compliance are still scattered around in developing e-Government services. This article presents an e-Government regulatory requirement compliance (eGRRC) ontology framework that describes the interrelated concepts of regulatory requirements compliance in e-Government service development. The proposed eGRRC ontology is then applied on the recently introduced general data protection regulation (GDPR) for personal data processing across European Union (EU) countries, in order to indicate how the concepts can be mapped to the defined entities. The contribution of this article is on introducing a framework for researchers and practitioners to explore regulatory requirements compliance and their interrelationships in e-Government service development. Furthermore, e-Government legislation can accordingly be modeled using on the eGRRC ontology, that serves as basis for queries to infer knowledge about the source of regulatory requirements, objectives of the regulation, various types of requirements, the services affected, orientation of regulatory rules in requirements, priorities, and amendments of regulations in e-Government service development.

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COPri - A Core Ontology for Privacy Requirements Engineering

Cited by 12 publications

References 17 publications

Towards a Reference Ontology for Digital Platforms

Towards a Reference Ontology for Digital Platforms

Privacy and Confidentiality in Process Mining: Threats and Research Challenges

An Ontology based Framework for E-Government Regulatory Requirements Compliance

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