Meilin Shi

About Me

I am a PhD student working on the topic of Concept Drift in Geo-Knowledge Graphs with Prof. Krzysztof Janowicz in the Spatial Temporal Knowledge Observatory (STKO) Lab, Department of Geography and Regional Research, University of Vienna.

Research Interests

• Geographic Knowledge Graphs
• GeoAI
• Geospatial Semantics
• Spatial Data Science

Education

• Ph.D in Geography, University of Vienna, 2025 (expected)
• M.A. in Geography, University of California, Santa Barbara, 2021
• B.S. in Physical Geography, University of California, Santa Barbara, 2018
  • Minor in German Studies

Teaching

• 290006 PS Open GIS and Open Data in Geoinformation (2024S)
  Course description: The course provides participants with an in-depth exploration of Open Source software within the realm of Geographic Information Systems (GIS) and the principles of Open Data initiatives. Participants will gain practical skills and knowledge of Open Source GIS tools and leverage Open Data resources effectively. Throughout the course, participants will learn from the fundamental concepts of Open GIS and Open Data to master the complete workflow of geospatial data processing and publication.
• 290061 PS Principles and Methods of Application Development - Geographic Information Retrieval (2023W)
  Course description: The course will cover GIR’s core concepts, techniques and challenges, such as the ambiguity of place names, topological relations, georeferencing, spatial indexing and ranking, and user interface development. Through literature review and Python-based practical exercises, students will also learn how to query structured data from geographic databases, how to geoparse unstructured texts to extract location references, and geospatial semantic analysis and interactive geo-visualization with retrieved information.

Publications

• Thinking Geographically about AI Sustainability
  Meilin Shi, Kitty Currier, Zilong Liu, Krzysztof Janowicz, Nina Wiedemann, Judith Verstegen, Grant McKenzie, Anita Graser, Rui Zhu, and Gengchen Mai. AGILE 2023. [PDF]

• Know, Know Where, KnowWhereGraph: A densely connected, cross‐domain knowledge graph and geo‐enrichment service stack for applications in environmental intelligence
  Krzysztof Janowicz, Pascal Hitzler, Wenwen Li, Dean Rehberger, Mark Schildhauer, Rui Zhu, Cogan Shimizu, Colby K Fisher, Ling Cai, Gengchen Mai, Joseph Zalewski, Lu Zhou, Shirly Stephen, Seila Gonzalez, Bryce Mecum, Anna Lopez‐Carr, Andrew Schroeder, David Smith, Dawn Wright, Sizhe Wang, Yuanyuan Tian, Zilong Liu, Meilin Shi, Anthony D’Onofrio, Zhining Gu, Kitty Currier. AI Magazine, 2022. [PDF]

• LD Connect: A Linked Data Portal for IOS Press Scientometrics * Spotlight Paper
  Zilong Liu*, Meilin Shi*, Krzysztof Janowicz, Blake Regalia, Stephanie Delbecque, Gengchen Mai, Rui Zhu, Pascal Hitzler. ESWC 2022. [PDF] [Code]

• Diverse Data! Diverse Schemata?
  Krzysztof Janowicz, Cogan Shimizu, Pascal Hitzler, Gengchen Mai, Shirly Stephen, Rui Zhu, Ling Cai, Lu Zhou, Mark Schildhauer, Zilong Liu, Zhangyu Wang, Meilin Shi. Semantic Web Journal, 2021. [PDF]

• A Socially Aware Huff Model for Destination Choice in Nature-based Tourism * Best Full Paper Nominatee
  Meilin Shi, Krzysztof Janowicz, Ling Cai, Gengchen Mai and Rui Zhu. AGILE 2021. [PDF] [Code]

• Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online
  Gengchen Mai, Krzysztof Janowicz, Sathya Prasad, Meilin Shi, Ling Cai, Rui Zhu, Blake Regalia, Ni Lao. AGILE 2020. [PDF]

• SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
  Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao. Transactions in GIS, 24.3 (2020). [PDF]

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