Ontology Development for the Domain of Unmanned Aerial Vehicles in Health

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dc.contributor.authorLelekis, Zisisen
dc.date.accessioned2024-06-20T12:38:30Z
dc.date.available2024-06-20T12:38:30Z
dc.date.issued2024-06-20
dc.identifier.urihttps://repository.ihu.edu.gr//xmlui/handle/11544/30472
dc.rightsDefault License
dc.subjectDronesen
dc.subjectUnmanned aerial vehiclesen
dc.subjectUAVsen
dc.subjectOntologyen
dc.subjectHealthen
dc.titleOntology Development for the Domain of Unmanned Aerial Vehicles in Healthen
heal.abstractThis dissertation was written as a part of the MSc in Data Science at the International Hellenic University. A key motivation for the thesis comes from the expanding field of unmanned aerial vehicles and their applications in health, where we experienced a rather big gap in the existence of an ontology that would cover the specific domain. Unmanned Aerial Vehicles (UAVs), commonly known as drones, have emerged as transformative entities shaping contemporary technological landscapes. This thesis investigates the domain of drone technology, exploring its terminology, historical evolution, and the manufacturing challenges inherent in their development. Moving beyond theoretical constructs, the research investigates practical applications across diverse sectors. It scrutinizes the historical trajectory of drones, from their experimental phase during the First World War to their current ubiquity in military arsenals worldwide. Additionally, the thesis navigates the intricate landscape of drone types, ranging from fixed-wing models to multi-modal drones with versatile capabilities. The synthesis of theoretical frameworks, historical context, and practical applications seeks to provide a holistic understanding of drone technology, contributing to the ongoing discourse in the field of unmanned vehicle science and technology. The thesis utilizes Ontology Engineering to create an ontology in the domain of drones and their applications in the healthcare ecosystem. The aim of the thesis was firstly to understand the business needs of drone operated missions in healthcare, and then build a corresponding ontology, in an efficient way that would cover the whole range of health-related information carried through drones. Specifically, the thesis has two objectives: a) Explore and understand the drone environment along with its applications in health b) Develop an ontology to display this information and show how such ontology can be useful in drone missions operated in health. After the development of the ontology, the latter was evaluated thoroughly against experimental information and data. The evaluation, mainly through SPARQL queries, shows that the ontology meets the business needs of drone mission operators and indeed allows the distribution -ivof data across the network of this group, such as available stations with specific drone requirements.en
heal.academicPublisherIHUen
heal.academicPublisherIDihuen_US
heal.accessfreeen_US
heal.advisorNameBassiliades, Nicken
heal.committeeMemberNamePeristeras, Vasileiosen
heal.committeeMemberNameBerberidis, Christosen
heal.dateAvailable2024
heal.languageenen_US
heal.licensehttp://creativecommons.org/licenses/by-nc/4.0en_US
heal.publicationDate2024
heal.recordProviderSchool of Science and Technology, MSc in Data Scienceen_US
heal.typemasterThesisen_US

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