Extending FOAF and Relationship Ontologies with Consent Ontology

Olca, Emre; Can, Özgü

doi:10.1109/ubmk.2018.8566297

Cited by 3 publications

(4 citation statements)

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“…Therefore, at the instance level, the related person, the consent of the person, and relationships of the person are created. The details of extending FOAF and Relationship Ontology according to the needs of the proposed consent management model can be found in [47].…”

Section: Domain Independent Consent Managementmentioning

confidence: 99%

DICON: A Domain-Independent Consent Management for Personal Data Protection

Olca

Can

2022

IEEE Access

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The development of technology accelerated the digital transformation of information systems. As a consequence of this digitization, data became available at any time and in any place. However, despite this ease of data accessibility, persons' privacy concerns and threats to data privacy have emerged. Thus, serious privacy problems arise while collecting, storing, accessing, sharing, and archiving personal data. Consent management aims to prevent these problems by preserving privacy and protecting personal data. Hence, there are international treaties and legal regulations for personal data protection which state that consent is required to collect, store, manage and share personal data. In this study, a Semantic Web-based personal consent management model is proposed to protect personal data privacy. The proposed model is domain-independent and aims to control and manage the consent of a person. In order to provide the privacy protection of personal data, the proposed model allows individuals to establish their privacy preferences by determining who can access their personal information, for what purposes, and under what circumstances. For this purpose, a group of ontology is created to ensure the informed consent process. The proposed consent management model is generic. As similar to general personal information, personal health information is also sensitive and must be protected from data leakage. Therefore, the proposed generic model is implemented with Semantic Web technologies and demonstrated for the healthcare domain. 16 17 users. In [2], consent management is stated as one of the most 50 important concepts in the Future Internet. Furthermore, it is 51 stated that the Future Internet is going to see a lot of lawsuits 52 that deal with what service a person has consented to, what 53 scope that consent had, and how the service has evolved after 54 the consent was given. Therefore, obtaining the consent of 55 the user and managing the process of this consent is very 56 important for the security and privacy of personal data.57 The consent information needs to be maintained and shared 58 by multiple parties such as the data subject, the data con-59 troller, data processor, and data protection authorities [3]. 60 Hence, the consent information needs to be represented 61 in a meaningful way to provide interoperability between 62 these parties. Also, users must be able to create, revoke 63 and update their consents. Consequently, an efficient consent 64 management system has inevitable importance to preserve 65 user privacy. For this purpose, a domain-independent consent 66 management model for preserving personal data privacy is 67 proposed in this study. The proposed consent management 68 model is based on the Semantic Web which is an extension 69 of the current web. In the Semantic Web, information is 70 given in a well-defined meaning to represent information 71 more meaningfully for both humans and computers [4]. Thus, 72 the Semantic Web provides interoperability which is the 73 ability to exchange informa...

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Section: Domain Independent Consent Managementmentioning

confidence: 99%

DICON: A Domain-Independent Consent Management for Personal Data Protection

Olca

Can

2022

IEEE Access

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“…Citation information: DOI 10.1109/ACCESS.2020.3048269, IEEE Access Johnson et al: Semantically Modeling Cyber Influencean extension of the FOAF ontology to track the consent of a person to process personal medical data. The semantic solution[101] allowed Turkey to comply with international laws but also to manage this data. The extended ontology[101] imported the FOAF ontology, leveraging the Person class.…”

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confidence: 99%

“…The semantic solution[101] allowed Turkey to comply with international laws but also to manage this data. The extended ontology[101] imported the FOAF ontology, leveraging the Person class. Secondly, due to the legal age requirements, FOAF was further extended with additional classes, such as 'foaf:HasMinAge which is Boolean and either above or below 18 years old.…”

mentioning

confidence: 99%

“…This consent ontology now tracks if consent is provided (another Boolean class of :permission or :prohibition) and who provided that for legal history. The extended ontology[101] demonstrates the ability to import established ontologies and extend them for other purposes.Kalemi and Martiri[102] developed an extension to the existing FOAF vocabulary to include professional achievements and bring people closer to others with similar interests, topics, and research. Kalemi and Martiri[102] focused on the academic community, extending it FOAF to cover academic specific terms and relationships.…”

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confidence: 99%

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Semantically Modeling Cyber Influence Campaigns (CICs): Ontology Model and Case Studies

et al. 2021

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KVKK Kavramlarının Modellenmesi için Ontoloji Tabanlı Bir Yaklaşım

ATLIER OLCA,

CAN

2024

DEUFMD

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Bilgi ve iletişim teknolojilerinin hızlı gelişimi kişisel verilerin paylaşılmasını ve daha kolay yayılmasını sağlamaktadır. Kişisel verilere olan erişim kolaylığı, kişisel mahremiyeti ve veri güvenliğini tehdit etmektedir. Veri gizliliğini ve güvenliğini sağlamak için 2016 yılında 6698 sayılı Kişisel Verilerin Korunması Kanunu (KVKK) kabul edilmiştir. Anayasa’nın 20. maddesi, Türk Ceza Kanunu, Türk Medeni Kanunu gibi bazı yasal çalışmalarda kişisel verinin korunmasına yönelik maddeler bulunsa da konuyu bütüncül olarak ele alan tek çalışma 6698 sayılı kanundur. Bu kanuna göre, kişisel verinin kullanımı kişinin onamına bağlıdır. Etkili bir onam yönetiminin sağlanabilmesi için veriye erişim bilgilerini ve erişim kurallarını tutan politikaların paylaşımı gereklidir. Bu çalışma kapsamında, Genel Veri Koruma Tüzüğü (General Data Protection Regulation - GDPR) ve KVKK kavramları karşılaştırılmakta ve KVKK metni analiz edilerek KVKK kavramları çıkarılmaktadır. Ayrıca, KVKK kavramlarını temel alan onam modeli ontoloji tabanlı bir yaklaşım ile geliştirilmekte ve Anlamsal Web teknolojileri tabanlı bir onam yönetim sistemi önerilmektedir.

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Extending FOAF and Relationship Ontologies with Consent Ontology

Cited by 3 publications

References 2 publications

DICON: A Domain-Independent Consent Management for Personal Data Protection

DICON: A Domain-Independent Consent Management for Personal Data Protection

Semantically Modeling Cyber Influence Campaigns (CICs): Ontology Model and Case Studies

KVKK Kavramlarının Modellenmesi için Ontoloji Tabanlı Bir Yaklaşım

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