https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY/Head https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY/assertion https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY/provenance https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY/pubinfo https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY/assertion http://id.crossref.org/issn/0302-9743 http://purl.org/dc/terms/title Lecture Notes in Computer Science https://doi.org/10.1007/978-3-030-61244-3_7 http://purl.org/dc/terms/abstract Scientific publishing is the means by which we communicate and share scientific knowledge, but this process currently often lacks transparency and machine-interpretable representations. Scientific articles are published in long coarse-grained text with complicated structures, and they are optimized for human readers and not for automated means of organization and access. Peer reviewing is the main method of quality assessment, but these peer reviews are nowadays rarely published and their own complicated structure and linking to the respective articles is not accessible. In order to address these problems and to better align scientific publishing with the principles of the Web and Linked Data, we propose here an approach to use nanopublications as a unifying model to represent in a semantic way the elements of publications, their assessments, as well as the involved processes, actors, and provenance in general. To evaluate our approach, we present a dataset of 627 nanopublications representing an interlinked network of the elements of articles (such as individual paragraphs) and their reviews (such as individual review comments). Focusing on the specific scenario of editors performing a meta-review, we introduce seven competency questions and show how they can be executed as SPARQL queries. We then present a prototype of a user interface for that scenario that shows different views on the set of review comments provided for a given manuscript, and we show in a user study that editors find the interface useful to answer their competency questions. In summary, we demonstrate that a unified and semantic publication model based on nanopublications can make scientific communication more effective and user-friendly. https://doi.org/10.1007/978-3-030-61244-3_7 http://purl.org/dc/terms/date 2020 https://doi.org/10.1007/978-3-030-61244-3_7 http://purl.org/dc/terms/isPartOf http://id.crossref.org/issn/0302-9743 https://doi.org/10.1007/978-3-030-61244-3_7 http://purl.org/dc/terms/title A Unified Nanopublication Model for Effective and User-Friendly Access to the Elements of Scientific Publishing https://doi.org/10.1007/978-3-030-61244-3_7 http://purl.org/ontology/bibo/authorList https://w3id.org/np/RALK_S1S45B31Fj2OQItnFJlCM7B0vVNZs3EAUaml4HHY/author-list https://doi.org/10.1007/978-3-030-61244-3_7 http://purl.org/ontology/bibo/pageEnd 119 https://doi.org/10.1007/978-3-030-61244-3_7 http://purl.org/ontology/bibo/pageStart 104 https://doi.org/10.1007/978-3-030-61244-3_7 http://www.w3.org/1999/02/22-rdf-syntax-ns#type 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