1 / 10

Surface Networks

Doug Foxvog, UMBC/NIST Dave Kolas, Raytheon BBN Technologies David Mark, SUNY Buffalo Daniel Mekonnen, Algebraix Data Corporation Anand Padmanabhan, UIUC Boleslo E Romero, UCSB Gaurav Sinha, Ohio University E. Lynn Usery, U.S. Geological Survey. Surface Networks. GeoVoCamp, Reston, VA

thalia
Download Presentation

Surface Networks

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. Doug Foxvog, UMBC/NIST Dave Kolas, Raytheon BBN Technologies David Mark, SUNY Buffalo Daniel Mekonnen, Algebraix Data Corporation Anand Padmanabhan, UIUC Boleslo E Romero, UCSB Gaurav Sinha, Ohio University E. Lynn Usery, U.S. Geological Survey Surface Networks GeoVoCamp, Reston, VA 11/2102

  2. Cayley-Maxwell Theory of Surface Networks • Classes describe elements of surfaces (e.g. topography) • Many named surface features have classes which are subjective and/or context dependent: • Mountains vs hills • There are objective elements of surfaces that can be a set of building blocks for these.

  3. Theory vs. Practice • Practical specialization of pattern: • Real world surface does not meet requirements of the theoretical model (i.e., is not continuously differentiable) • This means that certain geographic features are not able to be modeled • Specialization allows for ‘extra’ critical points and lines • This creates better links to features in other domains • Catchments • Streams

  4. General Theory vs. Application • Three ontologies so far: • Surface Networks in general • Geographic terrain surfaces • Links out to GeoSPARQL • Multi-Surface Applications

  5. Class Hierarchy

  6. Class Hierarchy - Terrain

  7. Relationships - Terrain boundedBy hasPart_directly partOf_directly part of_directly lowerEnd upperEnd upperEnd lowerEnd

  8. OWL Ontology • Created and will be made available • Namespaces? Locations?

  9. Future Work • Datasets • Generate example surface network data from USGS 30m Digital Elevation Model • Publish this data within the ontology as RDF • Scale this process up via CyberGIS project • USGS publishes data results • Publication

More Related