https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/Head https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/assertion https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/provenance https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/pubinfo https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/assertion https://doi.org/10.1145/3360901.3364434 http://purl.org/dc/terms/abstract Scientific publishing seems to be at a turning point. Its paradigm has stayed basically the same for 300 years but is now challenged by the increasing volume of articles that makes it very hard for scientists to stay up to date in their respective fields. In fact, many have pointed out serious flaws of current scientific publishing practices, including the lack of accuracy and efficiency of the reviewing process. To address some of these problems, we apply here the general principles of the Web and the Semantic Web to scientific publishing, focusing on the reviewing process. We want to determine if a fine-grained model of the scientific publishing workflow can help us make the reviewing processes better organized and more accurate, by ensuring that review comments are created with formal links and semantics from the start. Our contributions include a novel model called Linkflows that allows for such detailed and semantically rich representations of reviews and the reviewing processes. We evaluate our approach on a manually curated dataset from several recent Computer Science journals and conferences that come with open peer reviews. We gathered ground-truth data by contacting the original reviewers and asking them to categorize their own review comments according to our model. Comparing this ground truth to answers provided by model experts, peers, and automated techniques confirms that our approach of formally capturing the reviewers' intentions from the start prevents substantial discrepancies compared to when this information is later extracted from the plain-text comments. In general, our analysis shows that our model is well understood and easy to apply, and it revealed the semantic properties of such review comments. https://doi.org/10.1145/3360901.3364434 http://purl.org/dc/terms/date 2019-09-23 https://doi.org/10.1145/3360901.3364434 http://purl.org/dc/terms/isPartOf https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/kcap-2019 https://doi.org/10.1145/3360901.3364434 http://purl.org/dc/terms/title Peer Reviewing Revisited: Assessing Research with Interlinked Semantic Comments https://doi.org/10.1145/3360901.3364434 http://purl.org/ontology/bibo/authorList https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/author-list https://doi.org/10.1145/3360901.3364434 http://purl.org/ontology/bibo/pageEnd 187 https://doi.org/10.1145/3360901.3364434 http://purl.org/ontology/bibo/pageStart 179 https://doi.org/10.1145/3360901.3364434 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/ConferencePaper https://orcid.org/0000-0002-1267-0234 http://schema.org/affiliation https://ror.org/008xxew50 https://orcid.org/0000-0002-1267-0234 http://xmlns.com/foaf/0.1/name Tobias Kuhn https://orcid.org/0000-0002-3357-9130 http://schema.org/affiliation https://ror.org/00x7ekv49 https://orcid.org/0000-0002-3357-9130 http://xmlns.com/foaf/0.1/name Davide Ceolin https://orcid.org/0000-0002-7114-6459 http://schema.org/affiliation https://ror.org/008xxew50 https://orcid.org/0000-0002-7114-6459 http://xmlns.com/foaf/0.1/name Cristina-Iulia Bucur https://ror.org/008xxew50 http://xmlns.com/foaf/0.1/name Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands https://ror.org/00x7ekv49 http://xmlns.com/foaf/0.1/name Centrum Wiskunde & Informatica, Amsterdam, Netherlands https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_1 https://orcid.org/0000-0002-7114-6459 https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_2 https://orcid.org/0000-0002-1267-0234 https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_3 https://orcid.org/0000-0002-3357-9130 https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/kcap-2019 http://purl.org/dc/terms/title Proceedings of the 10th International Conference on Knowledge Capture (K-CAP 2019) https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/provenance https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-1267-0234 https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-3357-9130 https://w3id.org/np/RADEYDXspCTKsUKwtPJ6CV-3X3i8ClrScoSaIzCudb524/assertion 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