LODeXporter: Transforming GATE Annotations to LOD Triples
1. Introduction
The LODeXporter is a GATE component that can export NLP annotations directly to a triplestore, with configurable vocabularies, for use in LOD applications.
LODeXporter is described in our LREC 2018 publication [1]: "The LODeXporter: Flexible Generation of Linked Open Data Triples from NLP Frameworks for Automatic Knowledge Base Construction", Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan : European Language Resources Association (ELRA), pp. 2423-2428, May 7-12, 2018.
For an example agile data science workflow incorporating LODeXporter, see [2]: "From Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments", Semantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2016), Montréal, QC, Canada : Springer, 04/2016.
2. Download
LODeXporter development is hosted on GitHub.
For a complete example application using LODeXporter, have a look our PeerJ demo pipeline.
3. License
LODeXporter is distributed as free/open source software under the GNU Lesser General Public License Version 3 (LGPL3).
4. Version history
Current release is v1.0 (03.10.2017)
- First release was v0.1 (03.08.2015)
References
- "The LODeXporter: Flexible Generation of Linked Open Data Triples from NLP Frameworks for Automatic Knowledge Base Construction", Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan : European Language Resources Association (ELRA), pp. 2423-2428, May 7-12, 2018.
- "From Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments", Semantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2016), Montréal, QC, Canada : Springer, 04/2016.