Creating Semantic Fingerprints for Web Documents

Abstract

With Semantic Web technologies and Linked Data datasets we are able to not only retrieve the textual content of a document but also to automatically create formal semantic descriptions of its content. In this paper we present a Linked Data-based approach to automatically generate semantic fingerprints for Web documents. Our approach exploits the structured information in Linked Data datasets to derive an explicit semantic description of a Web resource. A two-stage evaluation of the implementation of the presented approach shows its feasibility and robustness.