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CIKM
2008
Springer

Mining conceptual graphs for knowledge acquisition

10 years 17 days ago
Mining conceptual graphs for knowledge acquisition
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and interpretation, as well as clustering and data cleaning, is introduced. Our proposal exploits sentence structure in order to generate concept hypothese, rank them according to plausibility and select the most credible ones. It enables the knowledge acquisition task to be performed without supervision, minimizing the possibility of failing to retrieve information contained in the document, in order to extract non-taxonomic relations. Categories and Subject Descriptors I.2.6 [Learning]: Knowledge acquisition; I.2.7 [Natural Language Processing]: Language parsing and understanding General Terms Management Keywords Classification,Clustering, Knowledge synthesis and visualization, Text Mining
Milagros Fernández, Eric Villemonte de la C
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where CIKM
Authors Milagros Fernández, Eric Villemonte de la Clergerie, Manuel Vilares Ferro
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