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.
Knowledge extraction from semi-structured data based on fuzzy techniques / P. Ceravolo, M.C. Nocerino, M. Viviani - In: Knowledge-based intelligent information and engineering systems / [a cura di] M.Gh. Negoita, R.J. Howlett, L.C. Jain. - Berlin : Springer, 2004. - ISBN 9783540232056. - pp. 328-334 (( Intervento presentato al 8. convegno International Conference on Knowledge-Based Intelligent Information and Engineering Systems tenutosi a Wellington nel 2004.
Knowledge extraction from semi-structured data based on fuzzy techniques
P. CeravoloPrimo
;
2004
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.
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