The Everything is Connected Engine (EiCE)

EiCE is a Linked Data tool for automatically generating multiple stories between two concepts in the Web of Data, based on formally described links.

A path between two concepts is obtained by browsing linked open datasets; the path is then enriched with multimedia presentation material for each node in order to obtain a full multimedia presentation of the found path. This technique is optimized for batch processing of RDF datasets distributed using LDF through Triple Pattern Fragments, which is able to find multiple paths between a pair of entities in a couple couple of minutes asynchronously.

This is the NodeJS version.

Copyright and License

Copyright (C) {2015-2016} {Ghent University - iMinds, Laurens De Vocht} This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, version 3. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU Affero General Public License along with this program (./LICENSE). If not, see http://www.gnu.org/licenses/.

Use

Note: on Wndows .NET Framework SDK is required to be installed.

Have a look at the example usages in

./examples

and the sample configuration file

./examples/config.json

Research

Please cite at least one of the following papers when using this in your research:

@inproceedings{devocht_eswc_poster_2015,
  title = {Improving Semantic Relatedness in Paths for Storytelling with {Linked Data} on the {Web}},
  author = {De Vocht, Laurens and Beecks, Christian and Verborgh, Ruben and Mannens, Erik and Seidl, Thomas and Van de Walle, Rik},
  booktitle = {Proceedings of the 12th Extended Semantic Web Conference: Posters and Demos},  
  year = {2015}
}
	
@inproceedings{de2013discovering,
  title={Discovering Meaningful Connections between Resources in the Web of Data.},
  author={De Vocht, Laurens and Coppens, Sam and Verborgh, Ruben and Vander Sande, Miel and Mannens, Erik and Van de Walle, Rik},
  booktitle={Proceedings of the 6th Workshop on Linked Data on the Web},
  year={2013}
}

Additional documentation and publications

• Discovering Meaningful Connections between Resources in the Web of Data L. De Vocht et al., Proceedings of the 6th Workshop on Linked Data on the Web
• Everything is Connected: Using Linked Data for Multimedia Narration of Connections between Concepts M. Vander Sande et al. Best Demo award ISWC2012
• Presentation at USC-ISI: Slides Webcast

Contact

Drop an e-mail at [email protected]