From Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments
|Title||From Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments|
|Publication Type||Conference Paper|
|Year of Publication||2016|
|Authors||Sateli, B., and R. Witte|
|Conference Name||Semantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2016)|
|Conference Location||Montréal, QC, Canada|
|Type of Work||Demo|
|Keywords||Linked Open Data, natural language processing, Scientific Literature Mining, Semantic Publishing|
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.
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