What University Libraries can do for the Open Research Knowledge Graph
- 1. What can University Libraries do for the Open Resarch Knowledge Graph? Kyoto University Symposium “Scholarly Publications as Open Data and University Libraries”, February 15, 2022
- 2. Seite 2 Researchers are drowning in the flood of publications
- 3. Seite 3 With the Open Research Knowledge Graph we aim to organize research
- 4. Seite 4
- 5. Seite 5 Resources for Research and Development Global spending on R&D has reached a record high of almost US$ 1.7 trillion: $1,700,000,000,000 A large share of this money is not efficiently used. Sources: http://uis.unesco.org/apps/visualisations/research- and-development-spending/ https://en.wikipedia.org/wiki/List_of_countries_by _research_and_development_spending
- 6. Seite 6 What university libraries can do for ORKG? ORKG is open-science, open source, open-data and open knowledge University libraries can: ● Increase the awareness for the ORKG ● Create example comparisons for presenting the state-of-the-art for concrete research ● Help researchers to curate content e.g. SOTA comparisons, literature lists, visualizations, SmartReviews etc. ● Run domain specific ORKG observatories for specific research questions addressing societal challenges, e.g. climate change, COVID-19 pandemic, renewable energy, circular economy etc. ● Help integrating the ORKG with other research infrastructures e.g. open-access repositories, research data management, …
- 7. Seite 7 Implementation of ORKG in humanities and multilingual environments Currently the coverage of ORKG examples in humanities is still sparse - much better coverage in natural sciences, engineering and life sciences However, the ORKG can be a valuable tool for humanities too, but we need more experimentation and examples Labels in non English languages can already be added, but better support for languages other than English is on our TODO list
- 8. Seite 8 ORKG Examples Observatories Benchmarks Literature Lists SmartReviews
- 9. Seite 9 Future development and deployment We develop the ORKG with a long term agenda We envision to onboard ten thousands of users in the next years Planned features include: ● More automation - better use of NLP, AI and ML - combining human and machine intelligence ● Better discussion features, notification and updates ● Integration with social networks ● Integration with other publication and research infrastructures, e.g. OA repositories, research data management ● Embedding of content in personal and organizational websites
- 10. Seite 10 The Team Software Development Group Leaders PostDocs Doctoral Researchers Dr. Markus Stocker Dr. Gábor Kismihók Dr. Javad Chamanara Dr. Jennifer D’Souza Allard Oelen Yaser Jaradeh Manuel Prinz Dr. Lars Vogt Golsa Heidari Kheir Eddine Farfar Muhammad Haris Administration Irmtraut Schröder Simone Matern Dr. Oliver Karras Hassan Hussein Salomon Kabongo Suhas Murthy Community Management Anna-Lena Lorenz
- 11. Seite 11 Conclusions Stay tuned ▪ https://tib.eu ▪ Consider creating an ORKG observatory for your domain ▪ Mailinglist/group: https://groups.google.com/forum/#!forum/orkg ▪ Open Research Knowledge Graph: https://orkg.org ▪ ERC Consolidator Grant ScienceGRAPH on the topic ▪ We need to reinvent scholarly communication ▪ Knowledge Graphs are perfectly suited to capture research contributions in a structured and semantic way making them human and machine interpretable ▪ With our Open Research Knowledge Graph initiative we aim to establish a registry for research contributions ▪ Curation and synergistic combination of human, expert and machine intelligence is a challenge
- 12. Contact Prof. Dr. Sören Auer TIB & Leibniz University of Hannover auer@tib.eu https://de.linkedin.com/in/soerenauer https://twitter.com/soerenauer https://www.xing.com/profile/Soeren_Auer http://www.researchgate.net/profile/Soeren_Auer