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Turki H, Jemielniak D, Hadj Taieb MA, Labra Gayo JE, Ben Aouicha M, Banat M, Shafee T, Prud’hommeaux E, Lubiana T, Das D, Mietchen D. Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata. PeerJ Comput Sci 2022; 8:e1085. [PMID: 36262159 PMCID: PMC9575845 DOI: 10.7717/peerj-cs.1085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 08/15/2022] [Indexed: 06/16/2023]
Abstract
Urgent global research demands real-time dissemination of precise data. Wikidata, a collaborative and openly licensed knowledge graph available in RDF format, provides an ideal forum for exchanging structured data that can be verified and consolidated using validation schemas and bot edits. In this research article, we catalog an automatable task set necessary to assess and validate the portion of Wikidata relating to the COVID-19 epidemiology. These tasks assess statistical data and are implemented in SPARQL, a query language for semantic databases. We demonstrate the efficiency of our methods for evaluating structured non-relational information on COVID-19 in Wikidata, and its applicability in collaborative ontologies and knowledge graphs more broadly. We show the advantages and limitations of our proposed approach by comparing it to the features of other methods for the validation of linked web data as revealed by previous research.
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Affiliation(s)
- Houcemeddine Turki
- Data Engineering and Semantics Research Unit, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia
| | - Dariusz Jemielniak
- Department of Management in Networked and Digital Societies, Kozminski University, Warsaw, Masovia, Poland
| | - Mohamed A. Hadj Taieb
- Data Engineering and Semantics Research Unit, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia
| | - Jose E. Labra Gayo
- Web Semantics Oviedo (WESO) Research Group, University of Oviedo, Oviedo, Asturias, Spain
| | - Mohamed Ben Aouicha
- Data Engineering and Semantics Research Unit, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia
| | - Mus’ab Banat
- Faculty of Medicine, Hashemite University, Zarqa, Jordan
| | - Thomas Shafee
- La Trobe University, Melbourne, Victoria, Australia
- Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Eric Prud’hommeaux
- World Wide Web Consortium, Cambridge, Massachusetts, United States of America
| | - Tiago Lubiana
- Computational Systems Biology Laboratory, University of São Paulo, São Paulo, Brazil
| | - Diptanshu Das
- Institute of Child Health (ICH), Kolkata, West Bengal, India
- Medica Superspecialty Hospital, Kolkata, West Bengal, India
| | - Daniel Mietchen
- Ronin Institute, Montclair, New Jersey, United States of America
- Department of Evolutionary and Integrative Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
- School of Data Science, University of Virginia, Charlottesville, Virginia, United States
- Institute for Globally Distributed Open Research and Education (IGDORE), Jena, Germany
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Mietchen D, Penev L, Georgiev T, Ovcharova B, Kostadinova I. Open science in practice: 300 published research ideas and outcomes illustrate how RIO Journal facilitates engagement with the research process. RESEARCH IDEAS AND OUTCOMES 2021. [DOI: 10.3897/rio.7.e68595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Since Research Ideas and Outcomes was launched in late 2015, it has stimulated experimentation around the publication of and engagement with research processes, especially those with a strong open science component. Here, we zoom in on the first 300 RIO articles that have been published and elucidate how they relate to the different stages and variants of the research cycle, how they help address societal challenges and what forms of engagement have evolved around these resources, most of which have a nature and scope that would prevent them from entering the scholarly record via more traditional journals. Building on these observations, we describe some changes we recently introduced in the policies and peer review process at RIO to further facilitate engagement with the research process, including the establishment of an article collections feature that allows us to bring together research ideas and outcomes from within one research cycle or across multiple ones, irrespective of where they have been published.
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