cybergis architectures for collaborative problem solving - ogc perspective

®

OGC perspective on CyberGIS for Collaborative

Problem Solving

AAG Annual Meeting panel, April 2015

George PercivallChief Engineer and CTO

+1 301 [email protected]

Copyright © 2015 Open Geospatial Consortium

mailto:[email protected]

OGC®

What is/are CyberGIS Architecture(s)?

• Internet-based, collaborative knowledge and decision environment based on the value of location information

• Best implemented when including–Open Interfaces–Open Source–Open Data


OGC®

Visualization / Decision Tools and Applications

GeoAPI

OpenLS

SLD

SE

Data Models and EncodingsWMC

FE

GML

GeoXACML

KML

CityGML OpenGeoSMS

IndoorGML

GeoSparql

WaterML

GeoPackage

NetCDF GMLJP2

OGC Services Architecture

Other Data

Processing Services

OpenMIWPSTJS WCPS

Geospatially Enabled Metadata

Discovery Services

CSWOpenSear

ch Geo ebRIM

WMS

WMTSWFS

Simple Features Access

Access Services

GeospatialFeature Data

Geospatial Browse/Map

s

Geospatial Coverage

Data

WCS

Other ServicesWorkflow, Alerts

Sensors

Puck

SOSSPS

O&M

SensorML

Sensor Web Enablement

Discover Task Access


OGC®

CyberGIS plumbing for collaboration is in place

Geospatial interoperability solved - several times• Geospatial Web Services: WMS, WMTS, WFS, WCS including REST• Geospatial Processing: Web Processing Service• Workflow and Model interoperability

Collaboration containers exist • OWS Context• OGC GeoPackage built on SQLite

Improvements for the big part of “CyberGIS”• Big Data applications, e.g. Apache Spark, Storm; GeoTrellis• OGC Discrete Global Grid Systems


OGC®

Discrete Global Grid Systems

Source: Matt Purss, Geoscience Australia

National Nested Grid

SCENZ-Grid

Earth System Spatial Grid

Snyder Grid

OGC®

Discrete Global Grid System (DGGS) Standards Working Group (SWG)

• Develop common criteria that will define conformant DGGSs– Considering Goodchild criteria

• Develop conceptual standard to facilitate data fusion between DGGSs using OGC Standards– to make them interoperable – with

conventional and other DGGS data– to standardize operations on them

• Engage stakeholders to encourage new use cases and adoption of interoperability through DGGSs

http://www.opengeospatial.org/projects/groups/dggsswg



OGC®

Knowledge Objects need to be conceptually modeled and implemented

• “Decision” and “Hypothesis” as 1st class objects– UML Model of the concepts and linked data relationships– Ontology for Types of decisions and hypothesis– Encodings of conceptual models– Templates for Decisions and Hypothesis

• Recommender systems - a guess at the riddle– If I see “these conditions” then consider this “decision template”– If I am researching “these topics” then consider this “hypothesis”

• “Geodata fusion” Proceedings SPIE Geospatial InfoFusion III, 87470A (23 May 2013); doi: 10.1117/12.2016226


cybergis architectures for collaborative problem solving - ogc perspective

Engineering