1 / 22

The Development of a National Hydrography Dataset for Semantic Geospatial Science Integration

The Development of a National Hydrography Dataset for Semantic Geospatial Science Integration . Dalia E. Varanka http://cegis.usgs.gov/ontology.html. National Hydrography Dataset (NHD). Surface Water Drainage Network of the U.S. Charts water data and models flow

platt
Download Presentation

The Development of a National Hydrography Dataset for Semantic Geospatial Science Integration

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Development of a National Hydrography Dataset for Semantic Geospatial Science Integration Dalia E. Varanka http://cegis.usgs.gov/ontology.html

  2. National Hydrography Dataset (NHD) • Surface Water Drainage Network of the U.S. • Charts water data and models flow • One of four vector layers of The National Map • Esri ArcGIS file formats

  3. Objectives • National Hydrography Dataset (NHD) Database ontology: develop for many purposes • Science data integration • Observations & Measurements ontology • Coastal and Marine Ecology Classification Standard • Basic Formal Ontology

  4. Surface Water Ontology Module Upper Level Ontology Coherent with Specialist Domain Coherent with All USGS Topographic Categories Surface Water NHD Esri Database

  5. NHD Feature Semantics Converted triples are NHD segments with a URI using the unique id, and defined feature types, geometry, and other attributes.

  6. NHD Semantics from Users Guide Object Space Event

  7. NHD/Science Data Integration Upper Level Ontology Links inferred by Specialist Domain Data Links inferred by All USGS Topographic Category Ontology Surface Water NHD Esri Data

  8. Fish Habitat Data Integration

  9. Observation & Measurement (O&M) Ontology

  10. Spatial Science Semantics Particular Variables Spatial Scale and other Relations Specific Populations

  11. Coastal and Marine Ecology Classification Standard (CMECS) • FGDC standard; written to be spatially explicit for mapping and geospatial information application • Expressed in GIS (NOAA)

  12. Categorical Spatial Relations • Subsystem: Lacustrine Littoral – The Littoral Subsystem includes shallow habitats in the Lacustrine System. The shoreward boundary of this subsystem extends to the landward limit of non-persistent emergents. The lakeward boundary includes all waters to a depth of 2 meters below Mean Lower Low Water (MLLW), or to the maximum extent of non-persistent emergents, whichever depth is greater. • Subsystem: Lacustrine Limnetic – The Limnetic Subsystem includes all deepwater habitats within the Lacustrine System. “Deepwater habitats” are those that occur at depths greater than 2 meters below MLLW—unless there are non-persistent emergents in those areas. In which case, “deepwater habits” are those beyond the limit of occurrence of non-persistent emergents.

  13. Categorical Spatial Relations Spatial relation properties (verb/preposition pairs) extracted from topo feature definitions

  14. Important because… • The spatial element of a class definition sets criteria for membership of individuals and for inferred semantics • Must be consistent through inference; these categories may possibly serve as superclasses for data integration

  15. Asserted Spatial Properties

  16. Graph Pattern as a Rule CONSTRUCT ?SB rdf:type :ShorewardBoundary Category Name WHERE ?SB :LandwardLimitgeo:Contains :NonPersistentEmergents :LandwardLimitgeo:Equals :ShorewardBoundary Category Criteria Construct triples to comply with a graph pattern using: • Category names as subject or object, • GeoSPARQL properties • Variables

  17. Surface Water / Upper Level Semantic Integration Upper Level Ontology Links inferred by Science Domain Ontology Links inferred by All USGS Topographic Category Ontology Surface Water NHD Esri Database Ontology

  18. Our Interest in Basic Formal Ontology (BFO) • Ontology modeling best practices • Strong general environment/science specification approach • Recognition of the role of geographic features and space • Approaches to processes and change

  19. Entity Continuant Occurant Dependent Continuant Independent Continuant Material Entity Immaterial Entity Object Fiat Object Part Boundary Site Spatial Region Object Aggregate Mount Footprint Area Hill Mountain Range Footprint Perimeter Footprint Area

  20. Entity Continuant Occurant Dependent Continuant Independent Continuant Quality Realizable Entity Reserve National Park

  21. Entity Continuant Occurant Process Spatiotemporal Region Process Boundary Temporal Region Disturbance Disturbed Disturbance Extent Period of Disturbance

  22. Thank you Northern Flicker

More Related