This document discusses how semantic technologies can help link datasets to publications and institutions to enable new forms of data search and showcasing. It notes that standard schemas and formats are needed to allow linkages between data repositories. Knowledge graphs can help relate entities like papers, authors and institutions to facilitate disambiguation and multi-institutional search capabilities. Semantic technologies are seen as central to efficiently building these linkages at scale across the research data ecosystem.

1. From Data Search to
Data Showcasing
Peter Cotroneo, Wouter Haak, Gabriel Oscares, Eleonora Presani, Abhinav Rohatgi and Paul Groth
@pgroth | @elsevierlabs |
The Role of Semantic Technologies
in a New Service

2. “A global information analytics business”
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3. Showcasing

4. Showcasing

5. Data Showcasing
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6. Data has many outlets
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7. The Research Data Ecosystem is Extensive
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8. Problem: linking data to institutions
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9. DataCite Schema.org Metadata
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10. DataCite Schema.org Metadata
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11. Dataset to Publication
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Burton, A., Fenner, M., Haak, W., Manghi, P.: Scholix Metadata
Schema for Exchange of Scholarly Communication Links (Nov 2017). https://doi.org/10.5281/zenodo.1120265

12. Scopus Knowledge Graph
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13. 13

14. Dataset  Paper  Author  Institution
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15. Semantic Technologies are Central
• Standard exchange formats / schemas between data repositories
enables linkages
• Standards anyone?
• Disambiguation of entities (papers, authors, institutions) is a must
• Relationship between entities allows new forms of search
• KGs ease rollout to multiple institutions
• Time to market
9/25/18
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16. Thank you
Paul Groth | @pgroth
@elsevierlabs