1st ACM SIGSPATIAL International Workshop on

Geospatial Knowledge Graphs (GeoKG 2022)

November 1st (Tuesday) 2022, Seattle, Washington, USA

About

Knowledge graphs are not merely a set of technologies, but a novel paradigm for representing, retrieving, integrating, and reasoning data from highly heterogeneous and multimodal sources. Knowledge graphs (KGs) have become a core component of modern search engines, intelligent personal assistants, and business intelligence within just a few years. However, despite large-scale data availability, KGs have not yet been as successful in the realm of environmental and geospatial studies. Geospatial knowledge graphs (GeoKGs), as symbolic representations of spatial entities, their attributes, and the relations among them, bring together Geographic Information Science (GIScience), Cognitive Science, and Artificial Intelligence (AI) to help facilitate many geospatial applications such as geographic question answering, geospatial interoperability, and geospatial knowledge discovery. Nevertheless, most existing data warehouses and associated techniques in KGs do not take into account the speciality of geospatial information so GeoKGs hardly achieves its full potential in geo-science and its downstream applications.

This half-day workshop aims to emphasize the importance of geospatial information and principles in designing, developing, and utilizing geospatial knowledge graphs and other geospatial AI techniques. It will include keynote speakers, individual presentations, as well as a panel discussion at the end.

Call for Papers

We invite researchers from disparate disciplines (e.g., environmental studies, GIScience, AI, cognition, supply chain, humanities, etc.) to submit papers in the following three formats. All submitted papers will be peer-reviewed by our Program Committee (PC). Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates available at http://www.acm.org/publications/proceedings-template. Submissions will be single-blind — i.e., the names affiliations of the authors should be listed in the submitted version.

Paper formats:
  • Full research paper: 8-10 pages
  • Short research paper or industry demo paper: 4 pages
  • Vision or statement paper: 2 pages
Topics include, but are not limited to:
  • Geospatial knowledge graph construction
    • Algorithms for geospatial knowledge graphs construction
    • Geographic knowledge graph benchmark
  • Geospatial ontology and reasoning
    • Ontologies to represent and reason over geospatial knowledge
    • Geo-ontology engineer and modularization
    • Spatiotemporal scoping of geospatial knowledge graphs
    • Spatial and temporal reasoning over graphs
  • Spatial data reuse and interoperability via knowledge graphs
    • Geographic entity coreference resolution
    • Geo-ontology alignment
  • Machine Learning on geospatial knowledge graphs
    • Geospatial knowledge graph embeddings
    • Spatiotemporally-explicit machine learning on graphs
  • Query geospatial knowledge graphs
    • GeoSPARQL and spatial query evaluation
    • Efficient indexing for querying geospatial knowledge graph
    • Spatial query benchmark
    • Approximate query processing on knowledge graphs
  • Geospatial knowledge graph applications on natural language processing
    • Knowledge graph-enabled geographic question answering
    • Geographic entity linking and disambiguation
    • Augmented large language model learning with geospatial knowledge graphs
  • Efficient and effective knowledge graph storage and access
    • Privacy, authorization, and authentication in geospatial knowledge graphs
    • Retrieval and access via geospatial knowledge graphs
  • Visualization
    • (Geo)Visualization of knowledge graphs
    • Geo-ontology visualization
  • Applications of geospatial knowledge graphs
    • Disaster management and response
    • Urban studies
    • Crime analysis
    • Supply chain management

Important Dates

  • Paper submission deadline: TBD
  • Notification of paper acceptance: TBD
  • Camera ready version: TBD
  • Workshop date: November 1st, 2022

Keynotes and Program

TBD

Organizers

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Krzysztof Janowicz

UC Santa Barbara, USA
University of Vienna, Austria

Rui Zhu

University of Bristol, UK

Gautam Thakur

Oak Ridge National Laboratory, USA

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Krzysztof-Janowicz
Rui-Zhu
Gautam-Thakur
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Xiaogang Ma

University of Idaho, USA

Ellie Young

Common Action, USA

Gengchen Mai

University of Georgia, USA

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Xiaogang-Ma
Ellie-Young
Gengchen-Mai
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Program Committee

    TBD