| Nathalie Chaignaud|
(Alternative names for this author)
|Co-authors||Carlo Abi Chahine, Chahine C.A., Kotowicz J.-P., Kotowicz J.P., Pecuchet J.-P., Pecuchet J.P.|
|Authorship||Publications (2), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
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PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Conceptual indexing of documents using Wikipedia||Directed acyclic graph
Keyword and topic extraction
|Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011||English||2011||This paper presents an indexing support system that suggests for librarians a set of topics and keywords relevant to a pedagogical document. Our method of document indexing uses the Wikipedia category network as a conceptual taxonomy. A directed acyclic graph 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. This allows the system to extract socalled important concepts from the graph and to disambiguate terms of the document. According to these concepts, topics and keywords are proposed. This method has been evaluated by the librarians on a corpus of french pedagogical documents.||0||0|
|Context and keyword extraction in plain text using a graph representation||SITIS 2008 - Proceedings of the 4th International Conference on Signal Image Technology and Internet Based Systems||English||2008||Document indexation is an essential task achieved by archivists or automatic indexing tools. To retrieve relevant documents to a query, keywords describing this document have to be carefully chosen. Archivists have to find out the right topic of a document before starting to extract the keywords. For an archivist indexing specialized documents, experience plays an important role. But indexing documents on different topics is much harder. This article proposes an innovative method for an indexing support system. This system takes as input an ontology and a plain text document and provides as output contextualized keywords of the document. The method has been evaluated by exploiting Wikipedia's category links as a termino-ontological resources.||0||0|