Reference list for the Digital Humanism Fellowship

Baru, C., DeBlanc-Knowles, T., Campbell, L., Chang, W., George, J., & Halbert, M. (2022). Open knowledge network roadmap: Powering the next data revolution (p. 28). National Science Foundation.

Bonner, S., Barrett, I. P., Ye, C., Swiers, R., Engkvist, O., Bender, A., Hoyt, C. T., & Hamilton, W. L. (2022). A review of biomedical datasets relating to drug discovery: A knowledge graph perspective. Briefings in Bioinformatics, 23(6), bbac404.

Bourli, S., & Pitoura, E. (2020). Bias in knowledge graph embeddings. 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 6–10.

Celebi, R., Uyar, H., Yasar, E., Gumus, O., Dikenelli, O., & Dumontier, M. (2019). Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings. BMC Bioinformatics, 20(1), 726.

Chuang, Y.-N., Lai, K.-H., Tang, R., Du, M., Chang, C.-Y., Zou, N., & Hu, X. (2022). Mitigating Relational Bias on Knowledge Graphs (arXiv:2211.14489). arXiv.

Du, Y., Zheng, Q., Wu, Y., Lan, M., Yang, Y., & Ma, M. (2022). Understanding gender bias in knowledge base embeddings. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1381–1395.

Ehrlinger, L., & Wöß, W. (2016). Towards a Definition of Knowledge Graphs. SEMANTiCS.

Fensel, D., Şimşek, U., Angele, K., Huaman, E., Kärle, E., Panasiuk, O., Toma, I., Umbrich, J., & Wahler, A. (2020). Introduction: What Is a Knowledge Graph? In D. Fensel, U. Şimşek, K. Angele, E. Huaman, E. Kärle, O. Panasiuk, I. Toma, J. Umbrich, & A. Wahler (Eds.), Knowledge Graphs: Methodology, Tools and Selected Use Cases (pp. 1–10). Springer International Publishing.

Ford, H., & Graham, M. (2016). Provenance, power and place: Linked data and opaque digital geographies. Environment and Planning D: Society and Space, 34(6), 957–970.

Ford, H., & Zuckerman, E. (2022). Writing the revolution: Wikipedia and the survival of facts in the digital age. The MIT Press.

Google Knowledge Graph. (2023). In Wikipedia.

Hogan, A., Gutierrez, C., Cochcz, M., Melo, G. de, Kirranc, S., Pollcrcs, A., Navigli, R., Ngomo, A.-C. N., Rashid, S. M., Schmclzciscn, L., Staab, S., Blomqvist, E., d’Amato, C., Gayo, J. E. L., Ncumaicr, S., Rula, A., Scqucda, J., & Zimmermann, A. (2022). Introduction. In A. Hogan, C. Gutierrez, M. Cochcz, G. de Melo, S. Kirranc, A. Pollcrcs, R. Navigli, A.-C. N. Ngomo, S. M. Rashid, L. Schmclzciscn, S. Staab, E. Blomqvist, C. d’Amato, J. E. L. Gayo, S. Ncumaicr, A. Rula, J. Scqucda, & A. Zimmermann (Eds.), Knowledge Graphs (pp. 1–4). Springer International Publishing.

Ichikawa, J. J., & Steup, M. (2018). The Analysis of Knowledge. In E. N. Zalta (Ed.), The Stanford Encyclopedia of Philosophy (Summer 2018). Metaphysics Research Lab, Stanford University.

Janowicz, K., Yan, B., Regalia, B., Zhu, R., & Mai, G. (2018). Debiasing Knowledge Graphs: Why Female Presidents are not like Female Popes. 5.

Juel Vang, K. (2013). Ethics of Google’s Knowledge Graph: Some considerations. Journal of Information, Communication and Ethics in Society, 11(4), 245–260.

Kejriwal, M. (2019). What Is a Knowledge Graph? In M. Kejriwal, Domain-Specific Knowledge Graph Construction (pp. 1–7). Springer International Publishing.

Kraft, A., & Usbeck, R. (2022). The lifecycle of “facts”: A survey of social bias in knowledge graphs (arXiv:2210.03353). arXiv.

National Science Foundation. (2021, November 18). Encouraging research on Open Knowledge Networks.

Nelson, C. A., Butte, A. J., & Baranzini, S. E. (2019). Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings. Nature Communications, 10(1), Article 1.

Rotmensch, M., Halpern, Y., Tlimat, A., Horng, S., & Sontag, D. (2017). Learning a Health Knowledge Graph from Electronic Medical Records. Scientific Reports, 7(1), Article 1.

San Segundo, R. (2002). A new concept of knowledge. Online Information Review, 26(4), 239–245.

Singhal, A. (2012, May 16). Introducing the Knowledge Graph: Things, not strings. Google | The Keyword.

Weikum, G., Dong, X. L., Razniewski, S., & Suchanek, F. (2021). Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. Foundations and Trends® in Databases, 10(2–4), 108–490.

Zhang, Y., Wang, X., Xu, Z., Yu, Q., Yuille, A., & Xu, D. (2020). When Radiology Report Generation Meets Knowledge Graph. Proceedings of the AAAI Conference on Artificial Intelligence, 34(07), Article 07.

Zhou, Y., Wang, F., Tang, J., Nussinov, R., & Cheng, F. (2020). Artificial intelligence in COVID-19 drug repurposing. The Lancet Digital Health, 2(12), e667–e676.

Zins, C. (2007). Conceptual approaches for defining data, information, and knowledge. Journal of the American Society for Information Science and Technology, 58(4), 479–493.