A quality measure for automatic ontology evaluation and improvement
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Iemhoff, R. | |
dc.contributor.author | Sekandar, K. | |
dc.date.accessioned | 2018-07-19T17:04:47Z | |
dc.date.available | 2018-07-19T17:04:47Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/29591 | |
dc.description.abstract | Ontologies are a useful tool for storing information, as they allow for automated reasoning. However, creating, maintaining, or evaluating ontologies are time-consuming processes. We started with automating the evaluation process, based on a framework from semiotics. Thereafter, we show a method to improve on existing NLP algorithms for the task of generating ontologies. The main contributions of this work are a multi-criteria, automated ontology evaluator, and a proof of concept for using such an evaluator for an automatic improvement of ontologies. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 763552 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | A quality measure for automatic ontology evaluation and improvement | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Artificial Intelligence |