Abstract
The paper presents a tool designed for the purpose of information retrieval. It is based on a syntactic-semantic approach of natural language and it exploits the formalism of conceptual graphs for representing the elements of information related to a domain. ZDoc was developed in order to build lexical, semantic and pragmatic resources used to match graphs on documents. It is thus possible either to locate a given information or to list the elements of information contained in a document or in a document flow.
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Zinglé, H. (2006). Modelling Knowledge with ZDoc for the Purposes of Information Retrieval. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_112
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DOI: https://doi.org/10.1007/11779568_112
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
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