FuhSen: a platform for federated, RDF-based hybrid search

authored by

Diego Collarana, Christoph Lange, Sören Auer

Abstract

The increasing amount of structured and semi-structured information available on the Web and in distributed information systems, as well as the Web's diversification into different segments such as the Social Web, the Deep Web, or the Dark Web, requires new methods for horizontal search. FuhSen is a federated, RDF-based, hybrid search platform that searches, integrates and summarizes information about entities from distributed heterogeneous information sources using Linked Data. As a use case, we present scenarios where law enforcement institutions search and integrate data spread across these different Web segments to identify cases of organized crime. We present the architecture and implementation of FuhSen and explain the queries that can be addressed with this new approach.

External Organisation(s)

University of Bonn
Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)

Type

Conference contribution

Pages

171-174

No. of pages

4

Publication date

2016

Publication status

Published

ASJC Scopus subject areas

Software, Computer Networks and Communications

Sustainable Development Goals

SDG 16 - Peace, Justice and Strong Institutions

Electronic version(s)

https://doi.org/10.1145/2872518.2890535 (Access: Closed)