Browsing by Author "Jafta, Yahlieel"

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    An ontology for the south african protection of personal information act
    (Curran Associates Inc., 2020) Jafta, Yahlieel; Leenen, Louise; Chan, Peter
    The protection and management of data, and especially personal information, is becoming an issue of critical importance in both the business environment and in general society. Various institutions have justifiable reasons to gather the personal information of individuals but they are required to comply with any legislation involving the processing of such data. Organisations thus face legal and other repercussions should personal information be breached or treated negligently. Most countries have adopted privacy and data protection laws or are in the process of enacting such laws. In South Africa, the Protection of Privacy Information Act (POPIA) was formally adopted in 2013 but it is yet to be implemented. When the implementation of the Act is announced, role players (responsible parties and data subjects) affected by POPIA will have a grace period of a year to become compliant and/or understand how the Act will affect them. One example of a mandate that follows from POPIA is data breach notification. This paper presents the development of a prototype ontology on POPIA to promote transparency and education of affected data subjects and organisations including government departments. The ontology provides a semantic representation of a knowledge base for the regulations in the POPIA and how it affects these role players.
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    Semantic data access for relational databases using an ontology
    (University of the Western Cape, 2024) Jafta, Yahlieel; Leenen, Louise
    Data analysis-based decision-making is performed daily by domain experts. As data grows in size and heterogeneity, accessing relevant data becomes challenging. In an Ontology-based data access (OBDA) approach, ontologies are advocated as a suitable formal tool to address complex data access. This technique falls within the Semantic Web domain, combining a domain ontology with a data source by using a declarative mapping specification to enable data access using a domain vocabulary. In this research, we investigate this approach by: a) studying the theoretical background that enables this technique; b) conducting a literature review on the existing open source tools that implement OBDA; c) implementing OBDA on a “real-world” relational dataset using an OBDA tool; and d) providing results and analysis of query answering. We selected Ontop (https://ontop-vkg.org) among various OBDA tools to illustrate how this technique enhances the data usage of the GitHub community. Ontop is an open-source tool applying OBDA in the domain of relational databases. We used the GHTorrent dataset, a relational database, in combination with the SemanGit ontology for our implementation.