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.
Ceravolo, P., Nocerino, M., Viviani, M. (2004). Knowledge extraction from semi-structured data based on fuzzy techniques. In 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004; Wellington; New Zealand; 20-25 September 2004 (pp.328-334). Springer Verlag [10.1007/978-3-540-30134-9_44].
Knowledge extraction from semi-structured data based on fuzzy techniques
Viviani, M.
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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