Details
| Original language | English |
|---|---|
| Title of host publication | WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web |
| Subtitle of host publication | proceedings of the 25th International Conference on World Wide Web : May 11-15, 2016, Montreal, Canada |
| Place of Publication | Republic and Canton of Geneva |
| Pages | 171-174 |
| Number of pages | 4 |
| ISBN (electronic) | 9781450341448 |
| Publication status | Published - 2016 |
| Externally published | Yes |
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.
Keywords
- deep web, federated search, linked data, rdf, social web
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Computer Networks and Communications
Sustainable Development Goals
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WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web: proceedings of the 25th International Conference on World Wide Web : May 11-15, 2016, Montreal, Canada. Republic and Canton of Geneva, 2016. p. 171-174.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - FuhSen: a platform for federated, RDF-based hybrid search
AU - Collarana, Diego
AU - Lange, Christoph
AU - Auer, Sören
N1 - Funding information: Acknowledgments. This work was funded by the German Ministry of Education and Research grant no. 13N13627.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - deep web
KW - federated search
KW - linked data
KW - rdf
KW - social web
UR - http://www.scopus.com/inward/record.url?scp=85063707915&partnerID=8YFLogxK
U2 - 10.1145/2872518.2890535
DO - 10.1145/2872518.2890535
M3 - Conference contribution
SN - 9781450341448
SP - 171
EP - 174
BT - WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web
CY - Republic and Canton of Geneva
ER -