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A Pattern for Features on a Hierarchical Spatial Grid

  • Cogan Shimizu
  • , Rui Zhu
  • , Gengchen Mai
  • , Colby Fisher
  • , Ling Cai
  • , Mark Schildhauer
  • , Krzysztof Janowicz
  • , Pascal Hitzler
  • , Lu Zhou
  • , Shirly Stephen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The integration of data along a common spatial component remains an obstacle in many problem spaces. One promising method for integrating data in such a way is through the use of a common, underlying spatial reference system, such as a Discrete Global Grid (e.g., the S2 Grid System), and pre-computing spatial relations between features and the constituent components at a spatial resolution appropriate for the data and use case. That is, by emphasizing the notion of the cell, we can examine what is in a cell, predict contents of its parent and child cells, and quickly get an overview of spatially co-located features and regions of interest without having to directly compute spatial interactions. This paper provides an ontology design pattern, to be used as a structural template, for modeling how features or regions map onto a hierarchical grid system and addresses how the attributes of these features may be inherited upwards or downwards through the hierarchy. We furthermore provide a motivating example and implementation.
Original languageEnglish
Title of host publicationProceedings of the 10th International Joint Conference on Knowledge Graphs, IJCKG 2021
PublisherAssociation for Computing Machinery
Pages108-114
Number of pages7
ISBN (Electronic)9781450395656
DOIs
StatePublished - Dec 6 2021
Externally publishedYes
Event10th International Joint Conference on Knowledge Graphs, IJCKG 2021 - Virtual, Online, Thailand
Duration: Dec 6 2021Dec 8 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Joint Conference on Knowledge Graphs, IJCKG 2021
Country/TerritoryThailand
CityVirtual, Online
Period12/6/2112/8/21

ASJC Scopus Subject Areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Keywords

  • geoinformation science
  • ontology design pattern
  • ontology engineering

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