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Today there are different systems capable of extracting digital document metadata. However, the absence of a structure de fi ned in the distribution of metadata in documents from a digital art library presents a major problem, this is generally due to the style that each author or publisher decides to use both on the cover and in the cover of the document. Although there are software tools that perform the task of extracting metadata, they focus only on structured documents such as journals, scientific articles, etc. Metadata is not more than structured information data, that is, information information or data data. This paper introduces the use of natural language techniques and typographic information of the text in the document for the extraction of metadata, such as: title, authors, publisher and date of publication. The results obtained in the evaluation with unstructured digital documents indicate the potential of the proposed approach, which is capable of producing good results in the extraction of metadata.

Extracción semiautomática de metadatos en documentos no estructurados utilizando procesamiento de lenguaje natural y propiedades tipográficas