We present an AI approach for the semantic recognition of bibliography references. The objective is to produce for each reference (given by an OCR flow), a structured data containing the list of the different sub-fields recognized and semantically validated. The validation is operated according to a Bibliography reference database, by the exam of principal terms in each reference field. The system uses an emergent architecture containing a Concept Network built from the database. This net represents the principal fields of the references and includes statistics on the occurrence of their terms. Validation is achieved dynamically by activation at each time of the more pertinent concepts. These concepts verify the presence of their terms by the execution of appropriate agents. This architecture is robust and non-deterministic allowing to find a solution in spite of OCR errors.


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    Title :

    Bibliography references validation using emergent architecture


    Contributors:
    Parmentier, F. (author) / Belaid, A. (author)


    Publication date :

    1995-01-01


    Size :

    389269 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Bibliography References Validation Using Emergent Architecture

    Parmentier, F. / Belaid, A. | British Library Conference Proceedings | 1995


    References and Bibliography

    Online Contents | 1999


    References and Bibliography

    Dixon, John C. | Wiley | 2009