A Unified Nanopublication Model for Effective and User-Friendly Access to the Elements of Scientific Publishing

Cristina Iulia Bucur*, Tobias Kuhn, Davide Ceolin

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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 are 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.

Original languageEnglish
Title of host publicationKnowledge Engineering and Knowledge Management
Subtitle of host publication22nd International Conference, EKAW 2020 Bolzano, Italy, September 16–20, 2020, Proceedings
EditorsC. Maria Keet, Michel Dumontier
PublisherSpringer Science and Business Media Deutschland GmbH
Pages104-119
Number of pages16
ISBN (Electronic)9783030612443
ISBN (Print)9783030612436
DOIs
Publication statusPublished - 2020
Event22nd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2020 - Bolzano, Italy
Duration: 16 Sep 202020 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12387 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2020
CountryItaly
CityBolzano
Period16/09/2020/09/20

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