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A Controlled Crowdsourcing Approach for Practical Ontology Extensions and Metadata Annotations

  • Yolanda Gil
  • Daniel Garijo
  • Varun Ratnakar
  • Deborah Khider
  • Julien Emile-Geay
  • Nicholas McKay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10588)

Abstract

Traditional approaches to ontology development have a large lapse between the time when a user using the ontology has found a need to extend it and the time when it does get extended. For scientists, this delay can be weeks or months and can be a significant barrier for adoption. We present a new approach to ontology development and data annotation enabling users to add new metadata properties on the fly as they describe their datasets, creating terms that can be immediately adopted by others and eventually become standardized. This approach combines a traditional, consensus-based approach to ontology development, and a crowdsourced approach where expert users (the crowd) can dynamically add terms as needed to support their work. We have implemented this approach as a socio-technical system that includes: (1) a crowdsourcing platform to support metadata annotation and addition of new terms, (2) a range of social editorial processes to make standardization decisions for those new terms, and (3) a framework for ontology revision and updates to the metadata created with the previous version of the ontology. We present a prototype implementation for the Paleoclimate community, the Linked Earth Framework, currently containing 700 datasets and engaging over 50 active contributors. Users exploit the platform to do science while extending the metadata vocabulary, thereby producing useful and practical metadata.

Keywords

Metadata Crowdsourcing Semantic wiki Collaborative ontology engineering Semantic science Incremental vocabulary development 

Notes

Acknowledgements

We gratefully acknowledge funding from the US National Science Foundation under EarthCube grant ICER-1541029 and under grant IIS-1344272. We would like to thank the paleoclimate scientists who are participating in this community effort. We also thank Chris Duffy, Paul Hanson, Jie Ji, Tejal Patted, and Neha Suvarna for their contributions to the project.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Yolanda Gil
    • 1
  • Daniel Garijo
    • 1
  • Varun Ratnakar
    • 1
  • Deborah Khider
    • 2
  • Julien Emile-Geay
    • 2
  • Nicholas McKay
    • 3
  1. 1.Information Sciences InstituteUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Department of Earth SciencesUniversity of Southern CaliforniaLos AngelesUSA
  3. 3.School of Earth Sciences and Environmental SustainabilityNorth Arizona UniversityFlagstaffUSA

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