Publications

This page includes relevant peer-reviewed journal and conference proceeding publications as well as technical reports and other publications.

If you want to cite the project, we suggest the following reference:

Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar, Manuel Prinz, Jennifer D’Souza, Gábor Kismihók, Markus Stocker, and Sören Auer (2019). Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge. In Proceedings of the 10th International Conference on Knowledge Capture (K-CAP ’19), November 19–21, 2019, Marina Del Rey, CA, USA. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3360901.3364435

Journals

  1. Markus Stocker, Pauli Paasonen, Markus Fiebig, Martha A Zaidan, and Alex Hardisty (2018). Curating Scientific Information in Knowledge Infrastructures. Data Science Journal, 17:21. https://doi.org/10.5334/dsj-2018-021
  2. Markus Stocker, Elham Baranizadeh, Harri Portin, Mika Komppula, Mauno Rönkkö, Amar Hamed, Annele Virtanen, Kari Lehtinen, Ari Laaksonen, and Mikko Kolehmainen (2014). Representing situational knowledge acquired from sensor data for atmospheric phenomena. Environmental Modelling & Software, 58:27-47. https://doi.org/10.1016/j.envsoft.2014.04.006

Proceedings

  1. Allard Oelen, Markus Stocker, and Sören Auer (2020). Creating a Scholarly Knowledge Graph from Survey Article Tables. In: Ishita E., Pang N.L.S., Zhou L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science, vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_35 (Pre-print available at https://arxiv.org/abs/2012.00456)
  2. Vitalis Wiens, Markus Stocker, and Sören Auer (2020). Towards Customizable Chart Visualizations of Tabular Data Using Knowledge Graphs. In: Ishita E., Pang N.L.S., Zhou L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science, vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_6 (Pre-print available at https://www.researchgate.net/publication/346521130 and presentation at https://youtu.be/mZ9B3ETyHU0)
  3. Ming Jiang, Jennifer D’Souza, Sören Auer, and Stephen J. Downie (2020). Improving Scholarly Knowledge Representation: Evaluating BERT-Based Models for Scientific Relation Classification. In: Ishita E., Pang N.L.S., Zhou L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science, vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_1 (Pre-print available at https://arxiv.org/abs/2004.06153)
  4. Marco Anteghini, Jennifer D’Souza, Vitor A. P. Martins dos Santos, and Sören Auer (2020). Representing Semantified Biological Assays in the Open Research Knowledge Graph. In: Ishita E., Pang N.L.S., Zhou L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science, vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_8 (Pre-print available at https://arxiv.org/abs/2009.07642)
  5. Ming Jiang, Jennifer D'Souza, Sören Auer, and Stephen J. Downie (2020). Targeting precision: A hybrid scientific relation extraction pipeline for improved scholarly knowledge organization. Proc Assoc Inf Sci Technol. 57:e303. https://doi.org/10.1002/pra2.303
  6. Jennifer D'Souza and Sören Auer (2020). NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature. In Proceedings of the 1st Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2020) co-located with the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL 2020), Virtual Event, China, August 1. http://ceur-ws.org/Vol-2658/
  7. Mohamad Yaser Jaradeh, Markus Stocker, and Sören Auer (2020). Question Answering on Scholarly Knowledge Graphs. In: Hall M., Merčun T., Risse T., Duchateau F. (eds) Digital Libraries for Open Knowledge.TPDL 2020. Lecture Notes in Computer Science, vol 12246. Springer, Cham. https://doi.org/10.1007/978-3-030-54956-5_2 (Pre-print available at https://arxiv.org/abs/2006.01527)
  8. Arthur Brack, Anett Hoppe, Markus Stocker, Sören Auer, and Ralph Ewerth (2020). Requirements Analysis for an Open Research Knowledge Graph. In: Hall M., Merčun T., Risse T., Duchateau F. (eds) Digital Libraries for Open Knowledge. TPDL 2020. Lecture Notes in Computer Science, vol 12246. Springer, Cham. https://doi.org/10.1007/978-3-030-54956-5_1 (Pre-print available at https://arxiv.org/abs/2005.10334)
  9. Allard Oelen, Mohamad Yaser Jaradeh, Markus Stocker, and Sören Auer (2020). Generate FAIR Literature Surveys with Scholarly Knowledge Graphs. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020. JCDL ’20: The ACM/IEEE Joint Conference on Digital Libraries in 2020. https://doi.org/10.1145/3383583.3398520
  10. Lars Vogt, Jennifer D’Souza, Markus Stocker, and Sören Auer (2020). Toward Representing Research Contributions in Scholarly Knowledge Graphs Using Knowledge Graph Cells. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020. JCDL ’20: The ACM/IEEE Joint Conference on Digital Libraries in 2020. https://doi.org/10.1145/3383583.3398530
  11. Mila Runnwerth, Markus Stocker, and Sören Auer (2020). Operational Research Literature as a Use Case for the Open Research Knowledge Graph. In: Bigatti A., Carette J., Davenport J., Joswig M., de Wolff T. (eds) Mathematical Software – ICMS 2020. Lecture Notes in Computer Science, vol 12097. Springer, Cham. https://doi.org/10.1007/978-3-030-52200-1_32
  12. Amir Aryani, Martin Fenner, Paolo Manghi, Andrea Mannocci, and Markus Stocker (2020). Open Science Graphs Must Interoperate! In Proceedings of the Scientific Knowledge Graphs Workshop co-located with TPDL 2020,
    August 25, Lyon, France. https://skg.kmi.open.ac.uk/SKG2020/papers/ARYANI_et_al_SKG_2020.pdf
  13. Jennifer D'Souza, Anett Hoppe, Arthur Brack, Mohmad Yaser Jaradeh, Sören Auer, and Ralph Ewerth (2020). The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources. In Proceedings of the 12th Language Resources and Evaluation Conference, pp. 2192-2203. European Language Resources Association. https://www.aclweb.org/anthology/2020.lrec-1.268
  14. Arthur Brack, Jennifer D’Souza, Anette Hoppe, Sören Auer, and Ralph Ewerth (2020). Domain-Independent Extraction of Scientific Concepts from Research Articles. In: Jose J. et al. (eds) Advances in Information Retrieval. ECIR 2020. Lecture Notes in Computer Science, vol 12035. Springer, Cham. https://doi.org/10.1007/978-3-030-45439-5_17
  15. Allard Oelen, Mohamad Yaser Jaradeh, Kheir Eddine Farfar, Markus Stocker, and Sören Auer (2019). Comparing Research Contributions in a Scholarly Knowledge Graph. In Proceedings of the Third International Workshop on Capturing Scientific Knowledge co-located with the 10th International Conference on Knowledge Capture (K-CAP 2019), Marina Del Rey, CA, USA, November 19. http://ceur-ws.org/Vol-2526
  16. Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar, Manuel Prinz, Jennifer D’Souza, Gábor Kismihók, Markus Stocker, and Sören Auer (2019). Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge. In Proceedings of the 10th International Conference on Knowledge Capture (K-CAP ’19), November 19–21, 2019, Marina Del Rey, CA, USA. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3360901.3364435
  17. Mohamad Yaser Jaradeh, Allard Oelen, Manuel Prinz, Markus Stocker, Sören Auer (2019). Open Research Knowledge Graph: A System Walkthrough. Lecture Notes in Computer Science, 348-351. https://doi.org/10.1007/978-3-030-30760-8_31  
  18. Markus Stocker, Manuel Prinz, Fatemeh Rostami, and Tibor Kempf (2018). Towards research infrastructures that curate scientific information: A use case in life sciences. In Proceedings of the 13th International Conference on Data Integration in the Life Sciences, Hannover, Germany, November 20-21. https://doi.org/10.1007/978-3-030-06016-9_6 
  19. Markus Stocker, Markus Fiebig, and Alex Hardisty (2018). A Missing Link from Data to Knowledge: Infrastructure that Curate the Meaning of Data. In Proceedings of the Göttingen-CODATA RDM Symposium 2018 on the critical role of university RDM infrastructure in transforming data to knowledge, Göttingen, Germany, March 18-20. https://conference.codata.org/2018_Goettingen_RDM/sessions/66/paper/286/
  20. Sören Auer, Viktor Kovtun, Manuel Prinz, Anna Kasprzik, Markus Stocker, and Maria-Esther Vidal (2018). Towards a Knowledge Graph for Science. In Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, Novi Sad, Serbia, June 25-27. https://doi.org/10.1145/3227609.3227689

Technical Reports

  1. Sören Auer (2018). Towards an Open Research Knowledge Graph. Zenodo. http://doi.org/10.5281/zenodo.1157185

Other

  1. Jennifer D'Souza (2020). #EUvsVirus: Covid-19 Bioassays in the Open Research Knowledge Graph. TIB. https://blogs.tib.eu/wp/tib/2020/05/08/covid-19-bioassays-in-the-open-research-knowledge-graph/
  2. Allard Oelen and Markus Stocker (2020). Organizing COVID-19 research with the Open Research Knowledge Graph. TIB. https://blogs.tib.eu/wp/tib/2020/04/08/organizing-covid-19-research-with-the-open-research-knowledge-graph/
  3. Allard Oelen (2019). Open Research Knowledge Graph (ORKG) - Paper comparison demo. Youtube. https://www.youtube.com/watch?v=mbe-cVyW_us
  4. Markus Stocker (2019). How knowledge graphs can bring about change in scholarly communication. TIB. https://www.tib.eu/en/service/news/details/how-knowledge-graphs-can-bring-about-change-in-scholarly-communication/