Abstract
The characterization of biomedical knowledge, taking into account the degree of confidence expressed in texts by authors themselves or given by other external hints carried out by the impact factor of the journal, or the study type for example, is an important issue in the biomedical domain. The authors of scientific texts use grammatical and lexical devices to qualify their assertions, voluntarily or not. We named these markers of qualification “confidence markers”. We present here the results of our efforts to collect confidence markers (often associated to epistemic modality) from full texts and abstracts, to classify them on the basis of semantics, and their use within a knowledge extraction system. We propose in this study, an implementation of these conjidence markers for functional annotation of the human gene Apolipoprotein (APOE) thought to be involved in Alzheimer’s disease. As a result, we obtain, through the extraction system, triplets: (G, F, PMID), in which G is the gene APOE, F is its function found in texts and the PMID of the article from which this knowledge was extracted. Moreover, a multidimensional projection space is proposed for representing the extracted knowledge depending on confidence criteria associated with it.
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Jilani, I., Janlent, MC. (2009). Enrichissement des bases de connaissances en biologie par extraction de marqueurs de confiance dans la littérature scientifique. In: Risques, Technologies de l’Information pour les Pratiques Médicales. Informatique et Santé, vol 17. Springer, Paris. https://doi.org/10.1007/978-2-287-99305-3_11
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DOI: https://doi.org/10.1007/978-2-287-99305-3_11
Publisher Name: Springer, Paris
Print ISBN: 978-2-287-99304-6
Online ISBN: 978-2-287-99305-3