A checklist-based approach for quality assessment of scientific information

CEUR Workshop Proceedings

Volumn 1116, Issue , 2013, Pages 34-45

  Zhao, Jun ^a   Klyne, Graham ^a   Gamble, Matthew ^b   Goble, Carole ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

SOCIAL NETWORKING (ONLINE);

CRITICAL FACTORS; QUALITY ASSESSMENT; QUALITY DIMENSION; QUALITY METRICS; QUALITY REQUIREMENTS; SCIENTIFIC DATA; SCIENTIFIC INFORMATION; SEMANTIC WEB TECHNOLOGY;

SEMANTIC WEB;

EID: 84921907191     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Khalid Belhajjame, Oscar Corcho, Daniel Garijo, Jun Zhao, and et al. Workflowcentric research objects: First class citizens in scholarly discourse. In Proceeding of SePublica2012, pages 1-12, 2012.
2. Christian Bizer and Richard Cyganiak. Quality-driven information filtering using the wiqa policy framework. Web Semantics: Science, Services and Agents on the World Wide Web, 7(1):1-10, 2009.
3. Jerven Bolleman, Alain Gateau, Sebastien Gehant, and Nicole Redaschi. Provenance and evidence in uniprotkb. In Proceedings of the 3rd International Workshop on Semantic Web Applications and Tools for the Life Sciences, Berlin, Germany, 2010.
4. Sangyoon Chin, Kyungrai Kim, and Yea-Sang Kim. A process-based quality management information system. Automation in Construction, 13(2):241-259, 2004.
5. D. De Roure, C. Goble, and R. Stevens. The design and realisation of the myexperiment virtual research environment for social sharing of workflows. Future Generation Computer Systems, 25:561-567, 2009.
6. Christian Fürber and Martin Hepp. Swiqa - A semantic web information quality assessment framework. In Proceedings of European Conference on Information Systems, 2011.
7. Matthew Gamble, Carole Goble, Graham Klyne, and Jun Zhao. Mim: A minimum information model vocabulary and framework for scientific linked data. In EScience (e-Science), 2012 IEEE 8th International Conference on, pages 1-8. IEEE, 2012.
8. Jennifer Golbeck and Aaron Mannes. Using trust and provenance for content filtering on the semantic web. In Proceedings of the Models of Trust for the Web Workshop, 2006.
9. Christophe Guéret, Paul Groth, Claus Stadler, and Jens Lehmann. Assessing linked data mappings using network measures. In Proceedings of the European Semantic Web Conference, pages 87-102. Springer, 2012.
10. Brigette M. Hales and Peter J. Pronovost. The checklist-a tool for error management and performance improvement. Journal of critical care, 21(3):231-235, 2006.
11. Yuangui Lei, Victoria Uren, and Enrico Motta. A framework for evaluating semantic metadata. In Proceedings of the 4th international conference on Knowledge capture, pages 135-142. ACM, 2007.
12. Pablo N Mendes, Hannes Mühleisen, and Christian Bizer. Sieve: linked data quality assessment and fusion. In Proceedings of the 2012 Joint EDBT/ICDT Workshops, pages 116-123. ACM, 2012.
13. Amrapali Zaveri, Anisa Rula, Andrea Maurino, Ricardo Pietrobon, Jens Lehmann, and Sören Auer. Quality assessment methodologies for linked open data. Semantic Web Journal. submitted on 12/14/2012.
14. Jun Zhao, Jose Manuel Gomez-Perez, Khalid Belhajjame, and et al. Why workflows break-understanding and combating decay in taverna workflows. In IEEE eScience, pages 1-8, 2012.