Innovation and Interdisciplinary Solutions for Underserved Areas. First International Conference, InterSol 2017 and Sixth Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Dakar, Senegal, April 11–12, 2017, Proceedings

Research Article

Towards Meningitis Ontology for the Annotation of Text Corpora

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  • @INPROCEEDINGS{10.1007/978-3-319-72965-7_30,
        author={W. B\^{e}r\^{e} and Gaoussou Camara and Sadouanouan Malo and Moussa Lo and Stanislas Ouaro},
        title={Towards Meningitis Ontology for the Annotation of Text Corpora},
        proceedings={Innovation and Interdisciplinary Solutions for Underserved Areas. First International Conference, InterSol 2017 and Sixth Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Dakar, Senegal, April 11--12, 2017, Proceedings},
        proceedings_a={INTERSOL \& CNRIA},
        year={2018},
        month={2},
        keywords={Ontology Meningitis Annotation Text corpus Neon},
        doi={10.1007/978-3-319-72965-7_30}
    }
    
  • W. Béré
    Gaoussou Camara
    Sadouanouan Malo
    Moussa Lo
    Stanislas Ouaro
    Year: 2018
    Towards Meningitis Ontology for the Annotation of Text Corpora
    INTERSOL & CNRIA
    Springer
    DOI: 10.1007/978-3-319-72965-7_30
W. Béré,*, Gaoussou Camara1,*, Sadouanouan Malo2,*, Moussa Lo3,*, Stanislas Ouaro4,*
  • 1: Université Alioune Diop de Bambey
  • 2: Université Polytechnique de Bobo-Dioulasso
  • 3: Université Gaston Berger
  • 4: Université Ouaga 1 Pr Joseph Ki-Zerbo
*Contact email: cedric.bere@univ-ouaga.bf, gaoussou.camara@uadb.edu.sn, sadouanouan@yahoo.fr, moussa.lo@ugb.edu.sn, ouaro@yahoo.fr

Abstract

Ontologies are formal models that describe the semantics of domain knowledge in order to facilitate automatic processing and provide reasoning possibilities. In the context of this work, we aim at designing an ontology for assisting data and event extraction from text corpora in social medias. These items extracted will be used as input for meningitis spreading simulation within a surveillance system. In this paper, we describe the methodology we propose for building such an ontology. Our approach is based on the reuse of some NeOn scenarios and the use of an annotation tool for text corpus of the biomedical domain. This tool takes as input a text corpus on meningitis and allows us to identify relevant ontological resources. The paper is ending by presenting examples of conceptual models resulting from the application of the first step of our methodology.