Δημιουργία οντολογίας για τη συσχέτιση μουσικής και συναισθήματος

Παπαδόπουλος, Βασίλης; Papadopoulos, Vasilis

dc.contributor.author	Παπαδόπουλος, Βασίλης	el
dc.contributor.author	Papadopoulos, Vasilis	en
dc.date.accessioned	2025-04-11T08:57:04Z
dc.date.available	2025-04-11T08:57:04Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/61679
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.29375
dc.rights	Default License
dc.subject	Ontology	en
dc.subject	Music and Emotion	en
dc.subject	Knowledge Graph	en
dc.subject	SPARQL	en
dc.subject	RDF/S	en
dc.title	Δημιουργία οντολογίας για τη συσχέτιση μουσικής και συναισθήματος	el
dc.title	Ontology development in linking musical features with emotional responses	en
heal.type	bachelorThesis
heal.classification	Symbolic Artificial Intelligence	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2024-11-14
heal.abstract	Music plays an important role in our lives and its impact on our emotions has been a focus of research for many years. Composers tend to use different musical features and combinations in order to influence how listeners feel. This study explores the connection between various musical features and the emotional responses they create. It introduces an ontology, which is a structured framework to represent knowledge using concepts, relationships and axioms. The ontology classifies the most common musical features into distinct categories and offers properties which link them with valence(positivity) and arousal(intensity) values. Then, a Python script is presented, which is used to popu late the ontology with instances of musical pieces derived from MusicXML files. The script extracts the musical features from such files and creates instances of them. It then uses these instances in order to calculate valence and arousal values for every mea sure of the musical piece analysed. By populating the ontology with many instances of musical pieces by four popular composers, a knowledge graph is constructed. Using the knowledge graph, several experiments are presented that make use of the SPARQL query language, demonstrating how the structure can be applied to analyze music and compare composers. Lastly, the study discusses how the ontology is evaluated, answers competency questions, and suggests possible future improvements and applications	en
heal.advisorName	Στάμου, Γιώργος	el
heal.committeeMemberName	Βουλόδημος, Αθανάσιος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Τεχνολογίας Πληροφορικής και Υπολογιστών	el
heal.academicPublisherID	ntua
heal.numberOfPages	134 σ.	el
heal.fullTextAvailability	false