Abstract
Through the use of formal document structures, for example paragraphs and tables, steps are shown on how to use these to extract information in the course of the automatic recognition of the contents of OpenOffice text documents and HTML documents as part of a document management project. It is possible to create formal graphs that structure the document-related information space based on a given information model by using a natural language processing chain and a wrapping procedure. A combined text and layout analysis is carried out with open source components that aims at representing information as a semantic network in a formal and visualizable manner. Scalable ways of retrieving information and processing knowledge are produced by uniting document-related information spaces to form thematic domains.
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© 2005 Springer-Verlag Berlin · Heidelberg
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Rist, U. (2005). Document Management and the Development of Information Spaces. In: Weihs, C., Gaul, W. (eds) Classification — the Ubiquitous Challenge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28084-7_62
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DOI: https://doi.org/10.1007/3-540-28084-7_62
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