Unsupervised Information Extraction using BabelNet and DBpedia.
Amir Hossein Jadidinejad · 2013
Using linked data in real world applications is a hot topic in the field of Information Retrieval. In this paper we leveraged two valuable knowledge bases in the task of information extraction. BabelNet is used to automatically recognize and disambiguate concepts in a piece of unstructured text. After extracting all possible concepts, DBpedia is leveraged to reason about the type of each concept using SPARQL.