| Title | FuhSen: A Platform for Federated, RDF-based Hybrid Search |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Collarana, Diego, Lange, Christoph, Auer, Sören |
| Conference Name | Proceedings of the 25th International Conference Companion on World Wide Web |
| Publisher | International World Wide Web Conferences Steering Committee |
| Conference Location | Republic and Canton of Geneva, Switzerland |
| ISBN Number | 978-1-4503-4144-8 |
| Keywords | dark web, deep web, federated search, Human Behavior, human factors, Linked data, pubcrawl, RDF, social web |
| 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. |
| URL | https://doi.org/10.1145/2872518.2890535 |
| DOI | 10.1145/2872518.2890535 |
| Citation Key | collarana_fuhsen:_2016 |
FuhSen: A Platform for Federated, RDF-based Hybrid Search