demonstration

FuhSen: A Platform for Federated, RDF-based Hybrid Search

Authors:

Diego Collarana,

Christoph Lange, and

Sören AuerAuthors Info & Claims

WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web

April 2016

Pages 171 - 174

https://doi.org/10.1145/2872518.2890535

Published: 11 April 2016 Publication History

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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.

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Cited By

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Gu ZCorcoglioniti FLanti DMosca AXiao GXiong JCalvanese D(2024)A systematic overview of data federation systemsSemantic Web10.3233/SW-22320115:1(107-165)Online publication date: 12-Jan-2024
https://doi.org/10.3233/SW-223201
Li MPeng PQin Z(2024)Feds: A Highly Efficient Keyword Search System Operating on Federated RDF SystemsWeb and Big Data10.1007/978-981-97-2421-5_32(483-488)Online publication date: 12-May-2024
https://doi.org/10.1007/978-981-97-2421-5_32
Li MPeng PTian ZQin ZHuang ZLiu Y(2023)Optimizing Keyword Search Over Federated RDF SystemsIEEE Transactions on Big Data10.1109/TBDATA.2022.32247499:3(918-935)Online publication date: 1-Jun-2023
https://doi.org/10.1109/TBDATA.2022.3224749
Show More Cited By

Index Terms

FuhSen: A Platform for Federated, RDF-based Hybrid Search
1. Information systems
  1. Data management systems
    1. Information integration
      1. Mediators and data integration
      2. Wrappers (data mining)
  2. Information retrieval
    1. Retrieval models and ranking
      1. Combination, fusion and federated search
    2. Retrieval tasks and goals
      1. Summarization

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Information

Published In

WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web

April 2016

1094 pages

ISBN:9781450341448

General Chairs:
Jacqueline Bourdeau
Tele-university (TELUQ), Montreal, QC, Canada
,
Jim A. Hendler
Rensselaer Polytechnic Institute, Troy, NY, USA
,
Roger Nkambou Nkambou
Université du Québec à Montréal, Montreal, QC, Canada
,
Program Chairs:
Ian Horrocks
University of Oxford, UK
,
Ben Y. Zhao
University of California at Santa Barbara, CA, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

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Published: 11 April 2016

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BMBF Germany

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WWW '16

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IW3C2

WWW '16: 25th International World Wide Web Conference

April 11 - 15, 2016

Québec, Montréal, Canada

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WWW '16 Companion Paper Acceptance Rate 115 of 727 submissions, 16%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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https://doi.org/10.3233/SW-223201
Li MPeng PQin Z(2024)Feds: A Highly Efficient Keyword Search System Operating on Federated RDF SystemsWeb and Big Data10.1007/978-981-97-2421-5_32(483-488)Online publication date: 12-May-2024
https://doi.org/10.1007/978-981-97-2421-5_32
Li MPeng PTian ZQin ZHuang ZLiu Y(2023)Optimizing Keyword Search Over Federated RDF SystemsIEEE Transactions on Big Data10.1109/TBDATA.2022.32247499:3(918-935)Online publication date: 1-Jun-2023
https://doi.org/10.1109/TBDATA.2022.3224749
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Asfand-E-Yar MAli R(2020)Semantic Integration of Heterogeneous Databases of Same Domain Using OntologyIEEE Access10.1109/ACCESS.2020.29886858(77903-77919)Online publication date: 2020
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Wang QPeng PTong TTian ZQin Z(2020)Keyword Search over Federated RDF SystemsDatabase Systems for Advanced Applications10.1007/978-3-030-59416-9_37(613-622)Online publication date: 22-Sep-2020
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