https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns#Head https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns http://www.nanopub.org/nschema#hasAssertion https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns#assertion https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns http://www.nanopub.org/nschema#hasProvenance https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns#provenance https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns#pubinfo https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/kpxl/ios/ds/np/RATwZNY8olG3jY9TIUD6--Y2fxSXJUGB-9VFXh0rfsSns#assertion http://id.crossref.org/issn/2451-8492 http://purl.org/dc/terms/title Data Science https://doi.org/10.3233/DS-170010 http://purl.org/dc/terms/abstract Various approaches and systems have been presented in the context of scholarly communication for what has been called semantic publishing. Closer inspection, however, reveals that these approaches are mostly not about publishing semantic representations, as the name seems to suggest. Rather, they take the processes and outcomes of the current narrative-based publishing system for granted and only work with already published papers. This includes approaches involving semantic annotations, semantic interlinking, semantic integration, and semantic discovery, but with the semantics coming into play only after the publication of the original article. While these are interesting and important approaches, they fall short of providing a vision to transcend the current publishing paradigm. We argue here for taking the term semantic publishing literally and work towards a vision of genuine semantic publishing, where computational tools and algorithms can help us with dealing with the wealth of human knowledge by letting researchers capture their research results with formal semantics from the start, as integral components of their publications. We argue that these semantic components should furthermore cover at least the main claims of the work, that they should originate from the authors themselves, and that they should be fine-grained and light-weight for optimized re-usability and minimized publication overhead. This paper is in fact not just advocating our concept, but is itself a genuine semantic publication, thereby demonstrating and illustrating our points. https://doi.org/10.3233/DS-170010 http://purl.org/dc/terms/date 2017-12-08 https://doi.org/10.3233/DS-170010 http://purl.org/dc/terms/hasPart https://w3id.org/kpxl/ios/ds/np/RA3G3aBhSQ7oXqTqhM82Wi4loFsemUWuWbVAS5TbkXLEU https://doi.org/10.3233/DS-170010 http://purl.org/dc/terms/hasPart https://w3id.org/kpxl/ios/ds/np/RANe7gL_xQhoyK-WFbqDc_J78065uEtfP_VUStfedVvD0 https://doi.org/10.3233/DS-170010 http://purl.org/dc/terms/hasPart https://w3id.org/kpxl/ios/ds/np/RAOEj7WGlDM-jEbUgkpW9rsZHozIgVe69rGu-DkIv-nAM https://doi.org/10.3233/DS-170010 http://purl.org/dc/terms/hasPart https://w3id.org/kpxl/ios/ds/np/RAPvkZJUbHr6mrRgt1dZAXh_A3N9l-uaglBUc-7wghUKc https://doi.org/10.3233/DS-170010 http://purl.org/dc/terms/hasPart https://w3id.org/kpxl/ios/ds/np/RApCtlkxBOmaKkQY48EiLAn0BaXfnQo2v0EZ-jIpHUC6Y https://doi.org/10.3233/DS-170010 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