This paper describes OntoExtractor a tool for extracting metadata from heterogeneous sources of information, producing a “quick-and-dirty” hierarchy of knowledge. This tool is specifically tailored for a quick classification of semi-structured data. By this feature, OntoExtractor is convenient for dealing with a web-based data source.
OntoExtractor : a fuzzy-based approach to content and structure-based metadata extraction / P. Ceravolo, E. Damiani, M. Leida, M. Viviani (LECTURE NOTES IN COMPUTER SCIENCE). - In: On the move to meaningful internet systems 2006 : OTM 2006 workshops : OTM confederated international workshops and posters, AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET, OnToContent, ORM, PerSys, OTM academy doctoral consortium, RDDS, SWWS, and SeBGIS 2006 : Montpellier, France, october 29 - november 3, 2006 : proceedings / [a cura di] R. Meersman, Z. Tari, P. Herrero. - Berlin : Springer, 2006. - ISBN 9783540482734. - pp. 1825-1834 (( convegno OTM Confederated International Workshops and Posters tenutosi a Montpellier nel 2006 [10.1007/11915072_89].
OntoExtractor : a fuzzy-based approach to content and structure-based metadata extraction
P. CeravoloPrimo
;E. DamianiSecondo
;M. LeidaPenultimo
;M. VivianiUltimo
2006
Abstract
This paper describes OntoExtractor a tool for extracting metadata from heterogeneous sources of information, producing a “quick-and-dirty” hierarchy of knowledge. This tool is specifically tailored for a quick classification of semi-structured data. By this feature, OntoExtractor is convenient for dealing with a web-based data source.
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