OntoExtractor: A Fuzzy-Based Approach to Content and Structure-Based Metadata Extraction

摘要

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.