Publicação
Ulisses NextGen
| Resumo: | Nowadays data can have many different shapes and relations between itself, ontologies try to formalize the semantics subjacent to this data and make it understandable by humans and code alike. While code succeeds at parsing and interpreting this formalization traditional ontology formats can be tough for a human to understand without previously deepened knowledge of the ontologic paradigm and, even then, directly analyzing a format like RDF would be, at the very least, very tedious. This problem is not exclusive to ontologic data either as to make sense of big datasets, even in famously human readable formats like JSON, humans need visualizations and abstractions. This dissertation is a study on graph visualization of ontologic data and how abstractions can be used to convey information to the end user in meaningful ways The information gathered is then used to implement an application called "Ulisses NextGen" that can generate an easily navigable graph visualizing application with a strong focus to support ontological data but general enough to support any information that can be abstracted as a graph. The application is served as a javascript package to be used in anywhere on the web where it can be used best to reach the end user. |
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| Autores principais: | Cunha, Nuno Azevedo Alves da |
| Assunto: | Ontology Graph Data Visualizations Ontologia Grafo Dados Visualizações |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Nowadays data can have many different shapes and relations between itself, ontologies try to formalize the semantics subjacent to this data and make it understandable by humans and code alike. While code succeeds at parsing and interpreting this formalization traditional ontology formats can be tough for a human to understand without previously deepened knowledge of the ontologic paradigm and, even then, directly analyzing a format like RDF would be, at the very least, very tedious. This problem is not exclusive to ontologic data either as to make sense of big datasets, even in famously human readable formats like JSON, humans need visualizations and abstractions. This dissertation is a study on graph visualization of ontologic data and how abstractions can be used to convey information to the end user in meaningful ways The information gathered is then used to implement an application called "Ulisses NextGen" that can generate an easily navigable graph visualizing application with a strong focus to support ontological data but general enough to support any information that can be abstracted as a graph. The application is served as a javascript package to be used in anywhere on the web where it can be used best to reach the end user. |
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