An Automatic sameAs link discovery from Wikipedia

Abstract

This paper discusses how to automatically discover "sameAs" and "meaningOf" links from Japanese Wikipedia in order to extend Japanese Wikipedia Ontology. We gathered relevant features such as IDF, string similarity, number of hypernym, and so on. We have identified the link-based score on salient features based on SVM results with 960,000 anchor link pairs. These case studies show us that our link discovery method goes well with more than 70% precision/recall rate..