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Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part II

Research Article

Mining Ancient Medicine Texts Towards an Ontology of Remedies – A Semi-automatic Approach

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-35081-8_11,
        author={Jo\"{a}o Nunes and Orlando Belo and Anabela Barros},
        title={Mining Ancient Medicine Texts Towards an Ontology of Remedies -- A Semi-automatic Approach},
        proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part II},
        proceedings_a={ICISML PART 2},
        year={2023},
        month={7},
        keywords={Ontology Learning Linguistic Ontologies Extracting Knowledge from Textual Data Natural Language Processing Linguistic Patterns Graph Databases},
        doi={10.1007/978-3-031-35081-8_11}
    }
    
  • João Nunes
    Orlando Belo
    Anabela Barros
    Year: 2023
    Mining Ancient Medicine Texts Towards an Ontology of Remedies – A Semi-automatic Approach
    ICISML PART 2
    Springer
    DOI: 10.1007/978-3-031-35081-8_11
João Nunes1, Orlando Belo1,*, Anabela Barros2
  • 1: ALGORITMI Research Centre/LASI, University of Minho, Campus of Gualtar
  • 2: Centre for Humanistic Studies, CEHUM, University of Minho, Campus of Gualtar
*Contact email: obelo@di.uminho.pt

Abstract

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.

Keywords
Ontology Learning Linguistic Ontologies Extracting Knowledge from Textual Data Natural Language Processing Linguistic Patterns Graph Databases
Published
2023-07-10
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-35081-8_11
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