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 references - first a short and sweet piece describing ORKG as a FAIR Supporting Service and second a longer piece describing the ORKG and its features in more details:

Markus Stocker, Allard Oelen, Mohamad Yaser Jaradeh, Muhammad Haris, Omar Arab Oghli, Golsa Heidari, Hassan Hussein, Anna-Lena Lorenz, Salomon Kabenamualu, Kheir Eddine Farfar, Manuel Prinz, Oliver Karras, Jennifer D’Souza, Lars Vogt, and Sören Auer (2023). FAIR scientific information with the Open Research Knowledge Graph. In B. Magagna (Ed.), FAIR Connect, vol. 1, issue 1, pp. 19–21. IOS Press. https://doi.org/10.3233/fc-221513

Sören Auer, Allard Oelen, Muhammad Haris, Markus Stocker, Jennifer D’Souza, Kheir Eddine Farfar, Lars Vogt, Manuel Prinz, Vitalis Wiens, and Mohamad Yaser Jaradeh (2020). Improving Access to Scientific Literature with Knowledge Graphs. Bibliothek Forschung und Praxis, vol. 44, no. 3, pp. 516-529 https://doi.org/10.1515/bfp-2020-2042

Journals

  1. Jennifer D’Souza, Hassan Hussein, Julia Evans, Lars Vogt, Oliver Karras, Vinodh Ilangovan, Anna-Lena Lorenz, Sören Auer (2024). Quality Assessment of Research Comparisons in the Open Research Knowledge Graph: A Case Study. JLIS.It, 15 (1):126-43. https://doi.org/10.36253/jlis.it-547

  2. Jennifer D’Souza (2024). Agriculture Named Entity Recognition—Towards FAIR, Reusable Scholarly Contributions in Agriculture. Knowledge, 4, no. 1: 1-26. https://doi.org/10.3390/knowledge4010001

  3. Salomon Kabongo, Jennifer D’Souza, & Sören Auer (2023). ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph. International Journal on Digital Libraries (2023). https://doi.org/10.1007/s00799-023-00366-1

  4. Sören Auer, Dante A. C. Barone, Cassiano Bartz, Eduardo G. Cortes, Mohamad Yaser Jaradeh, Oliver Karras, Manolis Koubarakis, Dmitry Mouromtsev, Dmitrii Pliukhin, Daniil Radyush, Ivan Shilin, Markus Stocker & Eleni Tsalapati (2023). The SciQA Scientific Question Answering Benchmark for Scholarly Knowledge. Nature Scientific Reports 13, 7240 (2023). https://doi.org/10.1038/s41598-023-33607-z

  5. Markus Stocker, Allard Oelen, Mohamad Yaser Jaradeh, Muhammad Haris, Omar Arab Oghli, Golsa Heidari, Hassan Hussein, Anna-Lena Lorenz, Salomon Kabenamualu, Kheir Eddine Farfar, Manuel Prinz, Oliver Karras, Jennifer D’Souza, Lars Vogt, and Sören Auer (2023). FAIR scientific information with the Open Research Knowledge Graph. In B. Magagna (Ed.), FAIR Connect, vol. 1, issue 1, pp. 19–21. IOS Press. https://doi.org/10.3233/fc-221513

  6. Jennifer D’Souza (2022). Overview of STEM Science as Process, Method, Material, and Data Named Entities. Knowledge, 2, no. 4: 735-754. https://doi.org/10.3390/knowledge2040042

  7. Jennifer D’Souza, Isaiah Onando Mulang and Sören Auer (2022). Ranking facts for explaining answers to elementary science questions. Natural Language Engineering, 1-26. https://doi.org/10.1017/S1351324921000358

  8. Lars Vogt (2021). FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example. J Biomed Semant 12, 20 https://doi.org/10.1186/s13326-021-00254-0

  9. Ming Jiang, Jennifer D’Souza, Sören Auer, and J. Stephen Downie (2021). Evaluating BERT-based scientific relation classifiers for scholarly knowledge graph construction on digital library collections. In International Journal on Digital Libraries. Springer Science and Business Media LLC. https://doi.org/10.1007/s00799-021-00313-y

  10. Arthur Brack, Anett Hoppe, Markus Stocker, Sören Auer, and Ralph Ewerth (2021). Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies. International Journal on Digital Libraries. https://doi.org/10.1007/s00799-021-00306-x

  11. Jennifer D’Souza and Sören Auer (2021). Sentence, Phrase, and Triple Annotations to Build a Knowledge Graph of Natural Language Processing Contributions—A Trial Dataset. Journal of Data and Information Science. https://doi.org/10.2478/jdis-2021-0023

  12. Sören Auer, Allard Oelen, Muhammad Haris, Markus Stocker, Jennifer D’Souza, Kheir Eddine Farfar, Lars Vogt, Manuel Prinz, Vitalis Wiens, and Mohamad Yaser Jaradeh (2020). Improving Access to Scientific Literature with Knowledge Graphs. Bibliothek Forschung Und Praxis, 44(3), 516-529. https://doi.org/10.1515/bfp-2020-2042

Proceedings

  1. Hassan Hussein, Kheir Eddine Farfar, Allard Oelen, Oliver Karras, Sören Auer (2023). Increasing Reproducibility in Science by Interlinking Semantic Artifact Descriptions in a Knowledge Graph. In: Goh, D.H., Chen, SJ., Tuarob, S. (eds) Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. ICADL 2023. Lecture Notes in Computer Science, vol 14458. Springer, Singapore. https://doi.org/10.1007/978-981-99-8088-8_19

  2. Muhammad Haris, Sören Auer, Markus Stocker (2023). Scholarly Knowledge Graph Construction from Published Software Packages. In: Goh, D.H., Chen, SJ., Tuarob, S. (eds) Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. ICADL 2023. Lecture Notes in Computer Science, vol 14458. Springer, Singapore. https://doi.org/10.1007/978-981-99-8088-8_15 (Pre-print available at https://doi.org/10.48550/arXiv.2312.01065)

  3. Swathi Anil and Jennifer D’Souza (2023). Toward Semantic Publishing in Non-invasive Brain Stimulation: A Comprehensive Analysis of rTMS Studies. In: Goh, D.H., Chen, SJ., Tuarob, S. (eds) Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. ICADL 2023. Lecture Notes in Computer Science, vol 14458. Springer, Singapore. https://doi.org/10.1007

  4. Salomon Kabongo, Jennifer D’Souza and Sören Auer (2023). Zero-Shot Entailment of Leaderboards for Empirical AI Research. In: ACM/IEEE Joint Conference on Digital Libraries. JCDL 2023.Santa Fe, NM, USA, 2023, pp. 237-241. https://doi.org/10.1109/JCDL57899.2023.00042 (Pre-print available at https://arxiv.org/abs/2303.16835)

  5. Vladyslav Nechakhin and Jennifer D’Souza (2023). Similar Papers Recommendation for Research Comparisons. In: Joint Workshop Proceedings of the 5th International Workshop on A Semantic Data Space For Transport (Sem4Tra) and 2nd NLP4KGC: Natural Language Processing for Knowledge Graph Construction. SEMANTiCS 2023. CEUR Workshop Proceedings, vol 3510. https://ceur-ws.org/Vol-3510/paper_nlp_5.pdf

  6. Freya Thießen, Jennifer D’Souza, Markus Stocker (2023). Probing Large Language Models for Scientific Synonyms. In: Joint Workshop Proceedings of the 5th International Workshop on A Semantic Data Space For Transport (Sem4Tra) and 2nd NLP4KGC: Natural Language Processing for Knowledge Graph Construction. SEMANTiCS 2023. CEUR Workshop Proceedings, vol 3510. https://ceur-ws.org/Vol-3510/paper_nlp_2.pdf

  7. Jennifer D’Souza, Moussab Hrou, Sören Auer (2023). Evaluating Prompt-Based Question Answering for Object Prediction in the Open Research Knowledge Graph. In: Strauss, C., Amagasa, T., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2023. Lecture Notes in Computer Science, vol 14146. Springer, Cham. https://doi.org/10.1007/978-3-031-39847-6_40 (Pre-print available at https://doi.org/10.48550/arXiv.2305.12900)

  8. Anna Martin, Ted Pedersen and Jennifer D’Souza (2022). NLPSharedTasks: A Corpus of Shared Task Overview Papers in Natural Language Processing Domains. In: Proceedings of the first Workshop on Information Extraction from Scientific Publications. WIESP 2022, pages 105–120, Online. Association for Computational Linguistics. https://aclanthology.org/2022.wiesp-1.13

  9. Jennifer D’Souza and Sören Auer (2022). Computer Science Named Entity Recognition in the Open Research Knowledge Graph. In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022. Lecture Notes in Computer Science, vol 13636. Springer, Cham. https://doi.org/10.1007/978-3-031-21756-2_3 (Pre-print available at https://doi.org/10.48550/arXiv.2203.14579)

  10. Mohamad Yaser Jaradeh, Markus Stocker, Sören Auer (2022). MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles. In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022. Lecture Notes in Computer Science, vol 13636. Springer, Cham. https://doi.org/10.1007/978-3-031-21756-2_23 (Pre-print available at https://doi.org/10.48550/arXiv.2212.05429)

  11. Muhammad Haris, Markus Stocker, Sören Auer (2022). Scholarly Knowledge Extraction from Published Software Packages. In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022. Lecture Notes in Computer Science, vol 13636. Springer, Cham. https://doi.org/10.1007/978-3-031-21756-2_24 (Pre-print available at https://doi.org/10.48550/arXiv.2212.07921)

  12. Omar Arab Oghli, Jennifer D’Souza, Sören Auer (2022). Clustering Semantic Predicates in the Open Research Knowledge Graph. In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022. Lecture Notes in Computer Science, vol 13636. Springer, Cham. https://doi.org/10.1007/978-3-031-21756-2_39 (Pre-print available at https://doi.org/10.48550/arXiv.2210.02034)

  13. Muhammad Haris, Markus Stocker, and Sören Auer (2022). Persistent Identification and Interlinking of FAIR Scholarly Knowledge. In: N. Robinson-Garcia, D. Torres-Salinas, & W. Arroyo-Machado (Eds.), 26th International Conference on Science and Technology Indicators, STI 2022. https://doi.org/10.5281/zenodo.6912480

  14. Hassan Hussein, Allard Oelen, Oliver Karras and Sören Auer (2022). KGMM — A Maturity Model for Scholarly Knowledge Graphs based on Intertwined Human-Machine Collaboration. ICADL (Pre-print available at https://doi.org/10.48550/arXiv.2211.12223)

  15. Jennifer D’Souza, Anita Monteverdi, Muhammad Haris, Marco Anteghini, Kheir Eddine Farfar, Markus Stocker, Vitor A. P. Martins dos Santos and Sören Auer (2022). The Digitalization of Bioassays in the Open Research Knowledge Graph. In: Strauss, C., Cuzzocrea, A., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2022. Lecture Notes in Computer Science, vol 13426. Springer, Cham. https://doi.org/10.1007/978-3-031-12423-5_5 (Pre-print available at https://doi.org/10.48550/arXiv.2203.14574)

  16. Marco Anteghini, Jennifer D’Souza, Vitor A. P. Martins dos Santos and Sören Auer (2022). Easy Semantification of Bioassays. In: Bandini, S., Gasparini, F., Mascardi, V., Palmonari, M., Vizzari, G. (eds) AIxIA 2021 – Advances in Artificial Intelligence. AIxIA 2021. Lecture Notes in Computer Science, vol 13196. Springer, Cham. https://doi.org/10.1007/978-3-031-08421-8_14 (Pre-print available at https://doi.org/10.48550/arXiv.2111.15182)

  17. Muhammad Haris, Markus Stocker, and Sören Auer (2022). Enriching Scholarly Knowledge with Context. In: Di Noia, T., Ko, IY., Schedl, M., Ardito, C. (eds) Web Engineering. ICWE 2022. Lecture Notes in Computer Science, vol 13362. Springer, Cham. https://doi.org/10.1007/978-3-031-09917-5_10 (Pre-print available at https://doi.org/10.48550/arXiv.2203.14617)

  18. Allard Oelen, Markus Stocker, Sören Auer (2022). TinyGenius: Intertwining Natural Language Processing with Microtask Crowdsourcing for Scholarly Knowledge Graph Creation. In Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries (JCDL '22). Association for Computing Machinery, New York, NY, USA, Article 34, 1-13. https://doi.org/10.1145/3529372.3533285 (Pre-print available at https://doi.org/10.48550/arXiv.2205.04504)

  19. Arthur Brack, Anett Hoppe, Pascal Buschermöhle, and Ralph Ewerth (2022). Cross-domain multi-task learning for sequential sentence classification in research papers. In Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries (JCDL '22). Association for Computing Machinery, New York, NY, USA, Article 34, 1-13. https://doi.org/10.1145/3529372.3530922

  20. Muhammad Haris, Kheir Eddine Farfar, Markus Stocker, and Sören Auer (2021). Federating Scholarly Infrastructures with GraphQL. Ke HR., Lee C.S., Sugiyama K. (eds) Towards Open and Trustworthy Digital Societies. ICADL 2021. Lecture Notes in Computer Science, vol 13133. Springer, Cham. https://doi.org/10.1007/978-3-030-91669-5_24

  21. Salomon Kabongo, Jennifer D’Souza, and Sören Auer (2021). Automated Mining of Leaderboards for Empirical AI Research. Ke HR., Lee C.S., Sugiyama K. (eds) Towards Open and Trustworthy Digital Societies. ICADL 2021. Lecture Notes in Computer Science, vol 13133. Springer, Cham. https://doi.org/10.1007/978-3-030-91669-5_35 (Pre-print available at https://arxiv.org/abs/2109.13089)

  22. Jennifer D’Souza and Sören Auer (2021). Pattern-Based Acquisition of Scientific Entities from Scholarly Article Titles. Ke HR., Lee C.S., Sugiyama K. (eds) Towards Open and Trustworthy Digital Societies. ICADL 2021. Lecture Notes in Computer Science, vol 13133. Springer, Cham. https://doi.org/10.1007/978-3-030-91669-5_31 (Pre-print available at https://arxiv.org/abs/2109.00199)

  23. Allard Oelen, Markus Stocker, and Sören Auer (2021). SmartReviews: Towards Human- and Machine-actionable Representation of Review Articles. Ke HR., Lee C.S., Sugiyama K. (eds) Towards Open and Trustworthy Digital Societies. ICADL 2021. Lecture Notes in Computer Science, vol 13133. Springer, Cham. https://doi.org/10.1007/978-3-030-91669-5_9 (Pre-print available at http://arxiv.org/abs/2111.15342)

  24. Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, and Sören Auer (2021). Triple Classification for Scholarly Knowledge Graph Completion. In Proceedings of the 11th Knowledge Capture Conference (K-CAP'21). https://doi.org/10.1145/3460210.3493582 (Pre-print available at https://arxiv.org/abs/2111.11845)

  25. Oliver Karras, Eduard C. Groen, Javed Ali Khan, and Sören Auer (2021). Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research. Proceedings of the IEEE 29th International Requirements Engineering Conference Workshops (REW). https://doi.org/10.1109/REW53955.2021.00056 (Pre-print available at https://arxiv.org/abs/2108.05085)

  26. Arthur Brack, Anett Hoppe, and Ralph Ewerth (2021). Citation Recommendation for Research Papers via Knowledge Graphs. In: Berget G., Hall M.M., Brenn D., Kumpulainen S. (eds) Linking Theory and Practice of Digital Libraries. TPDL 2021. Lecture Notes in Computer Science, vol 12866. Springer, Cham. https://doi.org/10.1007/978-3-030-86324-1_20 (Pre-print available at https://arxiv.org/abs/2106.05633)

  27. Golsa Heidari, Ahmad Ramadan, Markus Stocker, and Sören Auer (2021). Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries. In: Berget G., Hall M.M., Brenn D., Kumpulainen S. (eds) Linking Theory and Practice of Digital Libraries. TPDL 2021. Lecture Notes in Computer Science, vol 12866. Springer, Cham. https://doi.org/10.1007/978-3-030-86324-1_18 (Pre-print available at https://arxiv.org/abs/2107.05447v1 and presentation at https://www.youtube.com/watch?v=QsqMIO0cf-A)

  28. Allard Oelen, Markus Stocker, and Sören Auer (2021). SmartReviews: Towards Human- and Machine-actionable Reviews. In: Berget G., Hall M.M., Brenn D., Kumpulainen S. (eds) Linking Theory and Practice of Digital Libraries. TPDL 2021. Lecture Notes in Computer Science, vol 12866. Springer, Cham. https://www.doi.org/10.1007/978-3-030-86324-1_22 (Pre-print available at https://arxiv.org/abs/2107.05447v1)

  29. Golsa Heidari, Ahmad Ramadan, Markus Stocker, and Sören Auer (2021). Demonstration of Faceted Search on Scholarly Knowledge Graphs. In Companion Proceedings of the Web Conference 2021 (WWW '21). Association for Computing Machinery, New York, NY, USA, 685–686. https://doi.org/10.1145/3442442.3458605

  30. Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, and Sören Auer (2021). Plumber: A Modular Framework to Create Information Extraction Pipelines. In Companion Proceedings of the Web Conference 2021 (WWW '21). Association for Computing Machinery, New York, NY, USA, 678–679. https://doi.org/10.1145/3442442.3458603

  31. Jennifer D’Souza, Sören Auer, and Ted Pedersen (2021). SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph. Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). https://doi.org/10.18653/v1/2021.semeval-1.44

  32. Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Andreas Both, and Sören Auer (2021). Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines. In: Brambilla M., Chbeir R., Frasincar F., Manolescu I. (eds) Web Engineering. ICWE 2021. Lecture Notes in Computer Science, vol 12706. Springer, Cham. https://doi.org/10.1007/978-3-030-74296-6_19 (Pre-print available at https://arxiv.org/abs/2102.10966)

  33. Allard Oelen, Markus Stocker, and Sören Auer (2021). Crowdsourcing Scholarly Discourse Annotations. In Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, pp. 464-474, April 14-17, TX, College Station, USA. https://doi.org/10.1145/3397481.3450685

  34. Arthur Brack, Daniel Uwe Müller, Anett Hoppe, and Ralph Ewerth (2021). Coreference Resolution in Research Papers from Multiple Domains. In: Hiemstra D., Moens MF., Mothe J., Perego R., Potthast M., Sebastiani F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science, vol 12656. Springer, Cham. https://doi.org/10.1007/978-3-030-72113-8_6 (Pre-print available at https://arxiv.org/abs/2101.00884)

  35. 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)

  36. 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)

  37. 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)

  38. 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)

  39. 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

  40. Marco Anteghini, Jennifer D’Souza, Vitor A. P. Martins dos Santos, and Sören Auer (2020). SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph. In:Proceedings of the EKAW 2020 Posters and Demonstrations Session co-located with 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020) https://doi.org/10.34657/5192 (Pre-print available at https://arxiv.org/abs/2009.08801)

  41. 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/

  42. 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)

  43. 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)

  44. 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 (Pre-print available at https://arxiv.org/abs/2006.01747)

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

Proposals

  1. Markus Stocker, Tina Heger, Artur M. Schweidtmann, Hanna Ćwiek-Kupczyńska, Lyubomir Penev, Milan Dojchinovski, Egon Willighagen, Maria-Esther Vidal, Houcemeddine A. Turki, Daniel Balliet, Ilaria Tiddi, Tobias Kuhn, Daniel Mietchen, Oliver Karras, Lars Vogt, Sebastian Hellmann, Jonathan M. Jeschke, Paweł Krajewski, and Sören Auer (2022). SKG4EOSC - Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC. Research Ideas and Outcomes, 8. https://doi.org/10.3897/rio.8.e83789

  2. Sören Auer, Markus Stocker, Lars Vogt, Grischa Fraumann, and Alexandra Garatzogianni (2021). ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph. Research Ideas and Outcomes, 7. https://doi.org/10.3897/rio.7.e68513

Other

  1. Kamel Fadel and Markus Stocker (2020). Data Science with the Open Research Knowledge Graph. TIB. https://blogs.tib.eu/wp/tib/2020/10/05/data-science-with-the-open-research-knowledge-graph/

  2. 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/

  3. 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/

  4. Allard Oelen (2019). Open Research Knowledge Graph (ORKG) - Paper comparison demo. Youtube. https://www.youtube.com/watch?v=mbe-cVyW_us

  5. Markus Stocker (2019). How knowledge graphs can bring about change in scholarly communication. TIB. https://blogs.tib.eu/wp/tib/2019/06/17/how-knowledge-graphs-can-bring-about-change-in-scholarly-communication/

Doctoral Theses

  1. Allard Oelen (2022). Leveraging human-computer interaction and crowdsourcing for scholarly knowledge graph creation. https://doi.org/10.15488/13066

  2. Mohamad Yaser Jaradeh (2022). Thinking outside the graph: scholarly knowledge graph construction leveraging natural language processing. https://doi.org/10.15488/13065

  3. Arthur Brack (2022). Cross-domain information extraction from scientific articles for research knowledge graphs. https://doi.org/10.15488/12101

  4. Vitalis Wiens (2022). Visual exploration of semantic-web-based knowledge structures. https://doi.org/10.15488/12539

Bachelor and Master Theses

  1. Unterstützung der Manuskripterstellung mithilfe strukturiertem wissenschaftlichem Wissen, Oliver Ludwig, BSc thesis, 2024

  2. An Empirical User Study of the Open Research Knowledge Graph as a Tool for Science Communication, Alida Rohde, MSc thesis, 2023

  3. Integration of systematic review services with a scholarly knowledge graph, Thassilo Martin Schiepanski, MSc thesis, 2023

  4. Born-reusable scientific knowledge: Concept, Matthew Anfuso, BSc thesis, 2023

  5. Development of an Analysis Process to Assess the Quality of Research Knowledge Graphs, Atiyeh Mohammadkhani, MSc thesis, 2023

  6. The ORKG R Package and Its Use in Data Science, Zied Boubakri, BSc thesis, 2022

  7. Information extraction from articles on the impacts of COVID-19 lockdowns on air quality, Quentin Münch, BSc thesis, 2022

  8. Evaluating SQuAD-based Question Answering for the Open Research Knowledge Graph Completion, Moussab Hrou, BSc thesis, 2022

  9. Analysis of Video Application in Requirements Engineering Using Semantic Structures, Alex Hahn, BSc thesis, 2022

  10. Acquisition and Analysis of Research Practices Using Semantic Structures, Felix Wernlein, BSc thesis, 2022

  11. Development of a User-Centered Creation Process for ORKG Comparisons, Niklas Stehr, BSc thesis, 2022

  12. Lookup Service for High-Quality Metadata of Publications, Nam Dan Nhu, BSc thesis, 2022

  13. SciKGTeX - A LATEX Package to Semantically Annotate Contributions in Scientific Publications, Christof Bless, MSc thesis, 2022

  14. Information Retrieval Service Aspects of the Open Research Knowledge Graph, Omar Arab Oghli, MSc thesis, 2022

  15. Data Science with Scholarly Knowledge Graphs, Kamel Fadel, MSc thesis, 2021

  16. Publishing machine actionable reproducible scholarly knowledge, Anouar Ganfoud, MSc thesis, 2021

  17. Facettensuche für das Suchsystem von Open Research Knowledge Graph (ORKG), Ahmed Ramadan, BSc thesis, 2021

Related Publications

  1. Dmitry Kudryavtsev and Natalia Chichkova (2022). Application of knowledge graphs for creating a library of reusable knowledge in the smart city domain. QURATOR 2022

  2. Carsten Knoll (2022). Examining the ORKG towards Representation of Control Theoretic Knowledge – Preliminary Experiences and Conclusions. Companion Proceedings of the Web Conference