Ontology-based information extraction from the World Wide Web

We study possibilities to automatically extract information from the Internet, by structuring and combining data from web pages. The web pages are found with the use of a search engine and the information is structured by using ontologies. The ontologies are populated with the use of statistical and linguistic techniques. We present the results of a case study that is aimed at finding the names of famous persons. The results indicate that, even if we only use the summaries that Google provides of web pages, the approach results in a high precision and recall for the specific application.