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IMIA Chiang Spatial Computing - 2016

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We are a research team at Spatial Sciences Institute, University of Southern California.
We develop computer algorithms and build applications to solve real world problems in spatial sciences.

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IMIA Chiang Spatial Computing - 2016

  1. 1. 1 Spatial Computing Yao-Yi Chiang Spatial Sciences Institute University of Southern California Title
  2. 2. USC SSI Programs • BS in GeoDesign • MS and Certificate in GIST • MS in Spatial Informatics • PhD in Population, Health and Place GeoScavenge
  3. 3. Spatial Computing: Who we are? • We are a research team at Spatial Sciences Institute, University of Southern California • We develop computer algorithms and build applications to solve real world problems in spatial sciences
  4. 4. Spatial Computing @ USC SSI • Since 2013, we worked with 45 students and 6 postdoctoral researchers • one local high school student, a number of visiting international students, and some USC undergraduate and graduate students • GeoDisgn, electrical engineering, spatial informatics, computer science, and data informatics • A third of the 45 research students are female students in engineering
  5. 5. What is the problem? 5 Large Volumes and Varieties of Heterogeneous Geographic Data Manual conversion of large volumes of maps to a usable format for data analysis is time consuming and does not scale Problem
  6. 6. What are we building? 6 Large Volumes and Varieties of Heterogeneous Geographic Data Problem We build algorithms and tools to bridge the gaps e.g., Strabo
  7. 7. Digital Map Processing
  8. 8. Motivation • Existing data sources typically contain only contemporary datasets • e.g., present place names • Maps contain detailed geographic information at various times in the past • spatiotemporal datasets that cover long periods of time and large areas Land reclamation in Hong Kong (http://www.oldhkphoto.com/coast/)
  9. 9. Use Case: Identify Contamination Sites in the Past from Historical Ordinance Survey Maps
  10. 10. Potential Polluted Area
  11. 11. Use Case: Identify Pollution Sources in the Past from Historical USGS Maps Circa 1956 Circa 1921 Railway transportation is a serious source of pollution but many of the railroad records no longer exists
  12. 12. Exploiting Context in Cartographic Evolutionary Documents to Extract and Build Linked Spatial- Temporal Datasets • Editions in map series not independent • Change incrementally (updates) • Overlap in content • Can be used as training data for feature extraction! 2012 1964 1950 A Case Study and OutlookMap Processing: Impact & Challenges GeographicContext & Map Processing US Na-tional Science Foundation award IIS 1564164 and 1563933 to the University of Southern California and the University of Colorado at Boulder “Exploiting Context in Cartographic Evolutionary Documents to Extract and Build Linked Spatial- temporal Datasets”
  13. 13. Information Extraction & Geographic Context (1) Building contextual information • Create generic semantic models: • Locations, Type & Attributes • Geometry (e.g., line feature, width) • Inferring semantic rules ((un)likely situations) (2) Adaptive graphics sampling • Collect spatially constrained graphics examples • “LOCATION” to define sampling areas • Overlap: map contents & contextual data (3) Compute feature descriptors: Knowledge base creation • Shape, color, texture descriptors to be used in matching process GazetteerAdmin Records (x,y) A Case Study and OutlookMap Processing: Impact & Challenges GeographicContext & Map Processing
  14. 14. Geographic Data Integration
  15. 15. Spatial Record Linkage
  16. 16. Mining the Web for Location Data
  17. 17. Building Knowledge Graphs from Public Data for Predictive Analysis • A Case Study on Predicting Technology Future in Space and Time Ontology-based integration
  18. 18. Annotate Other Historical Materials with Map Content Murray Burger’s testimony The USC Shoah Foundation contains 53,000 audiovisual testimonies of survivors and witnesses of the Holocaust and other genocides that have been catalogued and indexed at the Institute Use map content to enrich the testimony metadata
  19. 19. Other Research Projects
  20. 20. Thank you • Questions?

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