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.
Cite
CITATION STYLE
Sateli, B., & Witte, R. (2016). From papers to triples: An open source workflow for semantic publishing experiments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9792 LNCS, pp. 39–44). Springer Verlag. https://doi.org/10.1007/978-3-319-53637-8_5
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