Ph.D. Researcher Email: zilong.liu@univie.ac.at My motivation stems from how humans and machines understand (e.g., perceive) and impact (e.g., construct) the world. Currently, I am a University Assistant (predoc) working at Vienna International School of Earth and Space Sciences on Knowledge Graph-based GeoEnrichment for Environmental Intelligence. I am also a member of the Spatial-Temporal Knowledge Observatory. Before, I was a research associate of Center for Spatial Studies at UC Santa Barbara from 2020 to 2022. Now I am a Ph.D. student affiliated with the working group of Spatial Data Science and Geocommunication at the Department of Geography and Regional Research in University of Vienna. Advised by Prof. Krzysztof Janowicz, I am studying geographic diversity in knowledge representation and representation learning.

Education

• Ph.D., Geography, University of Vienna (09/2022 - Present) + UC Santa Barbara (03/2022 - 09/2022)
• M.A., Geography, UC Santa Barbara (09/2020 - 03/2022)
• B.S., Geographic Information Science, East China Normal University (09/2016-07/2020)

Research Interests

• GeoAI
• Machine Ethics
• Spatial Data Science

Publications

• Liu, Z., Janowicz, K., & Currier, K. (2024). Making Geographic Space Explicit in Probing Multimodal Large Language Models for Cultural Subjects. Global AI Cultures @ ICLR 2024. (Forthcoming)
• Liu, Z., Janowicz, K., Currier, K., & Shi, M. (2024). Measuring Geographic Diversity of Foundation Models with a Natural Language–based Geo-guessing Experiment on GPT-4. arXiv preprint arXiv:2404.07612.
• Janowicz, K., Currier, K., Shimizu, C., Zhu, R., Shi, M., Fisher, C. K., … & Stephen, S. (2023). Fast Forward from Data to Insight:(Geographic) Knowledge Graphs and Their Applications. In Handbook of Geospatial Artificial Intelligence (pp. 411-426). CRC Press.
• Liu, Z., Janowicz, K., Currier, K., Shi, M., Rao, J., Gao, S., Cai, L., & Graser, A. (2023, August 26). Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. Fourth International Symposium on Platial Information Science (PLATIAL’23), Dortmund, Germany.
• Shi, M., Currier, K., Liu, Z., Janowicz, K., Wiedemann, N., Verstegen, J., … & Mai, G. (2023). Thinking Geographically about AI Sustainability. AGILE: GIScience Series, 4, 42.
• Liu, Z., Gu, Z., Thelen, T., Estrecha, S. G., Zhu, R., Fisher, C. K., … & Hitzler, P. (2022, November). Knowledge explorer: exploring the 12-billion-statement KnowWhereGraph using faceted search (demo paper). In Proceedings of the 30th International Conference on Advances in Geographic Information Systems (pp. 1-4). [repo] [demo] *Best Demo Runner-Up
• Goodchild, M.F., Appelbaum R., Crampton, J., Herbert, W.A., Janowicz, K., Kwan, M.-P., Michael, K., Alvarez León, L. F., Bennett, M., Cole, D.G., Currier, K., Fast, V., Hirsch, J., Kattenbeck, M., Kedron, P., Kerski, J., Liu, Z., Nelson, T., Shulruff, T., Sieber, R.E., Wertman, J., Wilmott, C., Zhao, B., Zhu, R., Nilupaer, J., Dony, C.C., Langham, G. (2022). A White Paper on Locational Information and the Public Interest. American Association of Geographers.
• Liu, Z., Janowicz, K., Cai, L., Zhu, R., Mai, G., & Shi, M. (2022). Geoparsing: Solved or Biased? An Evaluation of Geographic Biases in Geoparsing. AGILE: GIScience Series, 3, 1-13. [repo]
• Janowicz, K., Hitzler, P., Li, W., Rehberger, D., Schildhauer, M., Zhu, R., … & Currier, K. (2022). Know, Know Where, KnowWhereGraph: A densely connected, cross‐domain knowledge graph and geo‐enrichment service stack for applications in environmental intelligence. AI Magazine, 43(1), 30-39.
• Liu, Z., Shi, M., Janowicz, K., Regalia, B., Delbecque, S., Mai, G., … & Hitzler, P. LD Connect: A Linked Data Portal for IOS Press Scientometrics. In European Semantic Web Conference (pp. 323-337). Springer, Cham. [repo] *Spotlight Paper
• Janowicz, K., Shimizu, C., Hitzler, P., Mai, G., Stephen, S., Zhu, R., … & Shi, M. (2022). Diverse data! Diverse schemata?. Semantic Web, 13(1), 1-3.
• Zhu, R., Cai, L., Mai, G., Shimizu, C., Fisher, C. K., Janowicz, K., … & Liu, Z. (2021, December). Providing Humanitarian Relief Support through Knowledge Graphs. In Proceedings of the 11th on Knowledge Capture Conference (pp. 285-288).

Committee Service

• Program committee member, AGILE 2024
• Leading tutorial organizer, Knowing Where via Knowledge Graph-based GeoEnrichment, the 22^nd International Semantic Web Conference
• Student volunteer, the 4^th Spatial Data Science Symposium
• Student volunteer, Geography according to ChatGPT
• Student volunteer, the 3^rd Spatial Data Science Symposium

Teaching

• Open GIS and Open Data in Geoinformation, University of Vienna (2024S)
• Principles and Methods of Application Development - Geographic Information Retrieval, University of Vienna (2023W)
• Field Trip: Spatial Data Science and the City: A (North) American Perspective, University of Vienna (2023S)
• GEOG 176B, Technical GIS, UC Santa Barbara (Winter 2021, Teaching Assistant)
• GEOG 176A, Geographic Information Systems and Science, UC Santa Barbara (Fall 2020, Teaching Assistant)

Awards

• AGILE 2024 Grant, ESRI and AGILE (2024)
• US2TS Travel Grant, US2TS (2022)
• AGILE 2022 Grant, ESRI and AGILE (2022)
• Jack and Laura Dangermond Travel Scholarship for ESWC 2022, UC Santa Barbara (Spring 2022)
• Jack and Laura Dangermond Scholarship, UC Santa Barbara (Spring 2021)
• China National Scholarship, East China Normal University (2017)