Abstract
This paper describes a support system helping archivists in indexing and retrieving documents. Our method is based on the Wikipedia category network as a conceptual taxonomy. A directed acyclic graph (DAG) is built for each document by mapping terms (one or more words) to a concept in the Wikipedia category network. Properties of the graph are used to weight these concepts. According to the so–called important concepts, topics and keywords are proposed. Conceptual indexing consists in finding the relevant Wikipedia papers and categories, which can be used to describe the text. Conceptual retrieval consists in using these papers and categories to return the relevant documents for a user query. Finally, a proof–of–concept prototype is presented.
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