Information Extraction and Ontology Learning Guided by Web Directory
Martin Kavalec, Vojtěch Svátek · 2002
The paper presents our ongoing effort to create an information extraction tool for collecting general information on products and services from the free text of commercial web pages. A promising approach is that of combining information extraction with ontologies. Ontologies can improve the quality of information extraction and, on the other hand, the extracted information can be used to improve and extend the ontology. We describe the way we use Open Directory as training data, analyse this resource from the ontological point of view, present some preliminary results related to information extraction, and outline our plans for building and deploying the ontology.