This paper describes a theoretical approach on data mining, information classifying and a global overview of our OntoExtractor application, concerning the analysis of incoming data flow and generate metadata structures. In order to help the user to classify a big and varied group of data, our proposal is to use fuzzy-based techniques to compare and classify the data. Before comparing the elements, the incoming flow of information has to be converted into a common structured format like XML. With those structured documents now we can compare and cluster the various data and generate a metadata structure about this data repository.

Cui, Z., Damiani, E., Leida, M., Viviani, M. (2005). OntoExtractor: A fuzzy-based approach in clustering semi-structured data sources and metadata generation. In KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS (pp.112-118) [10.1007/11552413_17].

OntoExtractor: A fuzzy-based approach in clustering semi-structured data sources and metadata generation

Damiani, E;Viviani, M.
2005

Abstract

This paper describes a theoretical approach on data mining, information classifying and a global overview of our OntoExtractor application, concerning the analysis of incoming data flow and generate metadata structures. In order to help the user to classify a big and varied group of data, our proposal is to use fuzzy-based techniques to compare and classify the data. Before comparing the elements, the incoming flow of information has to be converted into a common structured format like XML. With those structured documents now we can compare and cluster the various data and generate a metadata structure about this data repository.
slide + paper
Data Mining; Semantic Web; Fuzzy Set Theory
English
International Conference on Knowledge-Based Intelligent Information and Engineering Systems SEP 14-16
2005
Khosla, R; Howlett, RJ; Jain, LC
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS
978-3-540-28894-7
2005
3681
112
118
https://link.springer.com/chapter/10.1007/11552413_17
none
Cui, Z., Damiani, E., Leida, M., Viviani, M. (2005). OntoExtractor: A fuzzy-based approach in clustering semi-structured data sources and metadata generation. In KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS (pp.112-118) [10.1007/11552413_17].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/174895
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