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

Author

Emre Olca and Ozgu Can

Subjects
Consent, data protection, knowledge-based systems, knowledge representation, ontology, privacy, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

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.

Published
2022
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4. Kişisel Verilerin Korunması Kanunu için Onam Ontolojisi Geliştirimi

Author

Emre Olca, Özgü Can, and Ege Üniversitesi

Subjects
Privacy,KVKK,Consent Management,Semantic Web,Ontology, Malzeme Bilimleri, Kaplamalar ve Filmler, Mahremiyet,KVKK,Onam Yönetimi,Anlamsal Web,Ontoloji, Mühendislik, Bilgisayar Bilimleri, Yazılım Mühendisliği, Mühendislik, Makine, İnşaat Mühendisliği, İmalat Mühendisliği, Mühendislik, Kimya, Engineering, Bilgisayar Bilimleri, Bilgi Sistemleri, Mühendislik, Jeoloji, Malzeme Bilimleri, Biyomalzemeler, Malzeme Bilimleri, Kompozitler
Abstract

Devletler vatandaşlarının temel hak ve özgürlüklerini korumak için kanun yapmak gibi kontrol mekanizmalarını kullanırlar. 6698 sayılı Kişisel Verilerin Korunması Kanunu (KVKK), temel hak ve özgürlüklerden biri olan kişisel verilerin korunması için Türkiye’de 24 Mart 2016 tarihinde kabul edilmiştir. Kişisel mahremiyetin korunmasına yönelik olan bu kanuna göre, kişisel verinin kullanımı kişinin onamına bağlıdır. Bu çalışmanın hedefi, kişisel onam yönetimini gerçekleştirmek için bir onam ontolojisi geliştirilmesidir. Bu amaçla, KVKK incelenmekte ve TF-IDF metin madenciliği metodu kullanılarak onam yönetimi sürecinde olabilecek terimler çıkartılmaktadır. Çıkartılan bu terimlerden ontoloji sınıfları ve ilişkileri belirlenmekte, ve geliştirilen onam ontolojisi sunulmaktadır., Governments use control mechanisms such as enactment of laws in order to protect the fundamental rights and freedoms of its citizens. the Law on the Protection of Personal Data (KVKK) No. 6698 was adopted on 24 March 2016 in Turkey in order to protect personal data that is one of the fundamental rights and freedoms. According to this law that is intended for the protection of personal privacy, the use of personal data depends on the consent of the individual. the aim of this study is to develop a consent ontology in order to perform the personal consent management. For this purpose, KVKK is examined and terms that may be encountered during the consent management process are extracted by using TF-IDF text mining method. Ontology classes and relationships are determined from these extracted terms, and the developed consent ontology is presented.

Published
2018

5. Extending FOAF and Relationship Ontologies with Consent Ontology

Author

Emre Olca and Özgü Can

Subjects
Information privacy, business.industry, Computer science, Friend of a friend, Internet privacy, Control (management), ComputingMilieux_LEGALASPECTSOFCOMPUTING, computer.file_format, Ontology (information science), Order (business), FOAF, The Internet, business, Semantic Web, computer
Abstract

Paper-based systems are being transported to electronic platforms with the development of technology. The Internet usage of people is increasing day by day. While the number of smartphone users is 2.1 billion in 2016, it is estimated that this number will be 2.8 billion in 2020. According to another study, the number of smartphone users in 2020 is estimated to be 6.8 billion. Personal data pass to the digital world because of the intensive use of the Internet and electronic systems. Person’s consent is necessary to use the data that has passed to the digital platform. In this study, a Consent ontology is developed by providing a semantic solution to the consent management in order to control the approval of persons. The developed Consent ontology imports Friend of a Friend (FOAF) and Relationship ontologies. The FOAF and Relationship ontologies are extended in Consent ontology in order to handle persons’ consent management. Thus, consent management could be provided by ensuring data privacy.

Published
2018
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