Abstract
Scientific Knowledge Graphs (SciKGs) aim to integrate scientific knowledge in a machine-readable manner. For populating SciKGs, research publications pose a central source of knowledge. The goal is to represent both contextual information, i.e., metadata, and contentual information, i.e., original contributions like definitions and experimental results, of research publications in SciKGs. However, typical forms of research publications like traditional papers do not provide means of integrating contributions into SciKGs. Furthermore, they do not support making direct use of the rich information SciKGs provide. To tackle this, the present paper proposes RDFtex, a framework enabling (1) the import of contributions represented in SciKGs to facilitate the preparation of
-based research publications and (2) the export of original contributions to facilitate their integration into SciKGs. As a proof of concept, an RDFtex implementation is provided. We demonstrate the framework’s functionality using the example of the present paper itself since it was prepared using this implementation.
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Notes
- 1.
https://ncses.nsf.gov/pubs/nsb20206 (accessed 2022/07/19).
- 2.
The implementation is written in Python 3.9. The code and other used resources are available at https://github.com/uniba-mi/rdftex (accessed 2022/07/19).
- 3.
https://www.wikidata.org (accessed 2022/07/19).
- 4.
https://www.dbpedia.org (accessed 2022/07/19).
- 5.
We use this terminology to make the distinction between metadata and the actual content more clear since both comprise semantic information but at different levels of abstraction.
- 6.
The use of available vocabularies for the predicates was omitted here.
- 7.
The remaining requirement addressing the need for additional tooling to obtain relevant URIs from a SciKG lies beyond the scope of the present paper (cf. Sect. 4).
- 8.
Our proof-of-concept preprocessor implementation can be configured to be executed whenever a .rdf.tex file changes. Similarly, tools like latexmk (https://ctan.org/pkg/latexmk, accessed 2022/07/19) provide the option to compile
projects whenever a .tex file changes. Combining the two, the PDF is compiled fully automatically whenever changes are made to any .rdf.tex file. - 9.
In the following, single “\(\backslash \)”-symbols indicate lines that are too long. In reality, there are no line breaks.
- 10.
For example, Semantic Scholar (https://www.semanticscholar.org; accessed 2022/07/19) and similar search engines could provide the URIs to a publication’s contributions alongside the links to the publication itself, in the future.
- 11.
https://www.overleaf.com (accessed 2022/07/19).
- 12.
https://query.wikidata.org (accessed 2022/07/19).
projects whenever a References
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Martin, L., Henrich, A. (2022). RDFtex: Knowledge Exchange Between LaTeX-Based Research Publications and Scientific Knowledge Graphs. In: Silvello, G., et al. Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham. https://doi.org/10.1007/978-3-031-16802-4_3
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