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https://hdl.handle.net/1822/90746
Título: | Extracting automatically a domain ontology from the “Book of Properties” of the archbishop’s table of Braga |
Autor(es): | Carvalho, José Pedro Belo, Orlando Barros, Anabela |
Palavras-chave: | Extracting Knowledge from Textual Data Linguistic Ontologies Machine Learning Natural Language Processing Ontology Learning |
Data: | 2023 |
Editora: | Springer, Cham |
Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Citação: | Carvalho, J.P., Belo, O., Barros, A. (2023). Extracting Automatically a Domain Ontology from the “Book of Properties” of the Archbishop’s Table of Braga. In: Quaresma, P., Camacho, D., Yin, H., Gonçalves, T., Julian, V., Tallón-Ballesteros, A.J. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2023. IDEAL 2023. Lecture Notes in Computer Science, vol 14404. Springer, Cham. https://doi.org/10.1007/978-3-031-48232-8_22 |
Resumo(s): | During the last years, many researchers used ontology-based technologies for developing ontology-learning processes for acquiring knowledge included in textual information. In our case, we focused such processes to study the contents of Portuguese manuscripts from the 17th century, aiming to explore the formalities of the language and characterize the elements contained in the texts. In particular, we worked over a very specific manuscript. In this paper, we present and describe the implementation of a semi-automatic ontology learning process for extracting the knowledge contained in the “Book of Properties”. This manuscript includes a detailed inventory of assets belonging to the Archbishop’s Table of Braga at the beginning of the 17th century. Our goal is to provide a fundamental computational instrument for studying and learning the geography, culture, agriculture, history, and genealogy in Portugal at that time. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/90746 |
ISBN: | 978-3-031-48231-1 |
e-ISBN: | 978-3-031-48232-8 |
DOI: | 10.1007/978-3-031-48232-8_22 |
ISSN: | 0302-9743 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-48232-8_22 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2023-IDEAL-CarvalhoEtAl-CRP.pdf Acesso restrito! | 616,2 kB | Adobe PDF | Ver/Abrir |