Knowledge Extraction from Semi-structured Data Based on Fuzzy Techniques

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.

• Type: Conference
• Year: 2004
• Where: KES
• Authors: Paolo Ceravolo, Maria Cristina Nocerino, Marco Viviani
• Keywords: Fuzzy Technique, KES 2004, Semi-structured Flow, XML Documents