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14

KES
2004
Springer

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Knowledge Extraction from Semi-structured Data Based on Fuzzy Techniques

13 years 9 months ago

Knowledge Extraction from Semi-structured Data Based on Fuzzy Techniques

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Abstract. In this work we propose a fuzzy technique to compare XML documents belonging to a semi-structured flow and sharing a common vocabulary of tags. Our approach is based on the idea of representing documents as fuzzy bags and, using a measure of comparison, evaluating structural similarities between them. Then we suggest how to organize the extracted knowledge in a class hierarchy, choosing a technique related to the domain of interest, later to be converted into a user ontology.

Paolo Ceravolo, Maria Cristina Nocerino, Marco Viv

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Fuzzy Technique | KES 2004 | Semi-structured Flow | XML Documents |

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Added	02 Jul 2010
Updated	02 Jul 2010
Type	Conference
Year	2004
Where	KES
Authors	Paolo Ceravolo, Maria Cristina Nocerino, Marco Viviani

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