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.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.
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Ceravolo, P., Damiani, E., Leida, M., Viviani, M. (2006). OntoExtractor: A Fuzzy-Based Approach to Content and Structure-Based Metadata Extraction. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_89
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DOI: https://doi.org/10.1007/11915072_89
Publisher Name: Springer, Berlin, Heidelberg
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