Multilingual Disambiguation of Named Entities Using Linked Data.

One key step towards extracting structured data from unstructured data sources is the disambiguation of entities. With AGDISTIS, we provide a time-efficient, state-of-the-art, knowledge-base-agnostic and multilingual framework for the disambiguation of RDF resources. The aim of this demo is to present the English, German and Chinese version of our framework based on DBpedia. We show the results of the framework on texts pertaining to manifold domains including news, sports, automobiles and e-commerce. We also summarize the results of the evaluation of AGDISTIS on several languages.