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

TitleFrom Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments
Publication TypeConference Paper
Year of Publication2016
AuthorsSateli B, Witte R
Conference NameSemantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2016)
Date Published04/2016
PublisherSpringer
Conference LocationMontréal, QC, Canada
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.