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https://hdl.handle.net/1822/90742
Título: | Mining ancient medicine texts towards an ontology of remedies – A semi-automatic approach |
Autor(es): | Nunes, João Belo, Orlando Barros, Anabela |
Palavras-chave: | Extracting Knowledge from Textual Data Graph Databases Linguistic Ontologies Linguistic Patterns Natural Language Processing Ontology Learning |
Data: | 2023 |
Editora: | Springer, Cham |
Revista: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) |
Citação: | Nunes, J., Belo, O., Barros, A. (2023). Mining Ancient Medicine Texts Towards an Ontology of Remedies – A Semi-automatic Approach. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-031-35081-8_11 |
Resumo(s): | Over the last years, ontology learning processes have gained a vast space for discussion and work, providing essential tools for discovering knowledge, especially from textual information sources. One of the most currently used techniques for extracting ontological elements from textual data is through the application of lexical-syntactic patterns, which aim to explore formalities of the language in which texts are written, for removing hyperonym/hyponym pairs that can be used to identify and characterize ontology concepts and create valuable semantic networks of terms. We applied a lexical-syntactic patterns approach in a set of medicine texts, written in classical Portuguese, during the 16th and 17th centuries, with the goal of extracting hyperonym/hyponym pairs to establish a medicine ontology of the time. In this paper, we discuss the most relevant aspects of an ontology learning system we implemented for extracting the referred ontology, which has the ability for characterizing the knowledge expressed in ancient medicament texts. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/90742 |
ISBN: | 978-3-031-35080-1 |
e-ISBN: | 978-3-031-35081-8 |
DOI: | 10.1007/978-3-031-35081-8_11 |
ISSN: | 1867-8211 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-35081-8_11 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2022-EAI-ICISML-NunesEtAl-CRP.pdf Acesso restrito! | 900,42 kB | Adobe PDF | Ver/Abrir |