Difference between revisions of "Document Indexing and Retrieval Using Wikipedia"
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| − | '''Document Indexing and Retrieval Using Wikipedia''' - scientific work related to Wikipedia quality published in 2011, written by Carlo Abi Chahine, Nathalie Chaignaud, Jean-Philippe Kotowicz and Jean-Pierre Pécuchet. | + | '''Document Indexing and Retrieval Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Carlo Abi Chahine]], [[Nathalie Chaignaud]], [[Jean-Philippe Kotowicz]] and [[Jean-Pierre Pécuchet]]. |
== Overview == | == Overview == | ||
| − | This paper introduces a framework to perform conceptual indexing and retrieval of documents. It uses a graph composed of terms from a text and elements of the Wikipedia Category Network. Conceptual indexing consists in finding the relevant Wikipedia articles and categories that can be used to describe the text. Conceptual retrieval consists in using these articles and categories to return the relevant documents for a user query. A proof-of-concept prototype is finally presented. | + | This paper introduces a framework to perform conceptual indexing and retrieval of documents. It uses a graph composed of terms from a text and elements of the [[Wikipedia]] Category Network. Conceptual indexing consists in finding the relevant Wikipedia articles and [[categories]] that can be used to describe the text. Conceptual retrieval consists in using these articles and categories to return the relevant documents for a user query. A proof-of-concept prototype is finally presented. |
Revision as of 01:00, 9 June 2019
Document Indexing and Retrieval Using Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Carlo Abi Chahine, Nathalie Chaignaud, Jean-Philippe Kotowicz and Jean-Pierre Pécuchet.
Overview
This paper introduces a framework to perform conceptual indexing and retrieval of documents. It uses a graph composed of terms from a text and elements of the Wikipedia Category Network. Conceptual indexing consists in finding the relevant Wikipedia articles and categories that can be used to describe the text. Conceptual retrieval consists in using these articles and categories to return the relevant documents for a user query. A proof-of-concept prototype is finally presented.
