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From Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments

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TitleFrom Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments
Publication TypeConference Paper
Year of Publication2016
AuthorsSateli, B., and R. Witte
Refereed DesignationRefereed
Conference NameSemantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2016)
Date Published04/2016
PublisherSpringer
Conference LocationMontréal, QC, Canada
Type of WorkDemo
KeywordsLinked Open Data, natural language processing, Scientific Literature Mining, Semantic Publishing
Abstract

In this demonstration paper, we describe an open source workflow for supporting experiments in semantic publishing research. Based on a flexible, component-based approach, natural language papers can be converted into a Linked Open Data (LOD) compliant knowledge base. We exemplary discuss how to plan and execute experiments based on an integrated suite of tools, thereby both significantly lowering the barrier of entry in this field, while also encouraging the exchange of tools when building novel contributions.

Copyright

Copyright © Springer 2016. This is the author's version of the work. It is posted here by permission of Springer for your personal use. Not for redistribution.

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savesd16-demo.pdf908.21 KB