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Intersection of GI and IT
Spatial Databases Max J. Egenhofer National Center for Geographic Information and Analysis Department of Spatial Information Science and Engineering University of Maine
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Outline A reflection on GI IT Some technical challenges
Some community challenges Evolution of GI and its implications Conclusions and near-term success measures
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GI IT Geospatial Information Information Technology = ?
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GI IT Geospatial Information Information Technology = ?
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GI IT Geospatial Information Information Technology = Information
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GI IT GI IT
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GI IT GI IT
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GI IT GI IT
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GI IT GI IT
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GI IT GI IT
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GI IT GI IT
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GI IT GI IT
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GI IT GI IT
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GI IT GI IT
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GI IT IT GI
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GI IT IT GI
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GI IT IT GI
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GI IT GI IT
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GI IT GI IT
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GI IT Geospatial Information Information Technology = Information
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GI IT Geospatial Information Information Technology = Information
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GI IT Geospatial Information Information Science = Information
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GI IT Geospatial Information Systems Information Science = Information
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GI IT Geospatial Information Systems Information Science = Information
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GI IT Geospatial Information Science Information Science = Information
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GI IT Geospatial Information Science Information Science = Information
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GI IT Geospatial Information Science Computer Science = Information
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GI IT Geospatial Information Science Computer Science = Information
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Geosptial Informtion Science
GI IT Geosptial Informtion Science Computer Science = Information
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Geosal Inftion Science
GI IT Geosal Inftion Science Computer Science = Information
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GI IT Geal Infn Science Computer Science = Information
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GI IT Ge In Science Computer Science = Information
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GI IT GIScience Computer Science = Information
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GI IT GIScience Computer Science = Information
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GI IT GIEngineering Computer Science = Information
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What are these Information Technologies?
GI* IT What are these Information Technologies?
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Information Technologies
Global Positioning Systems (GPS)
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Information Technologies
Cell phones
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Information Technologies
Portable computing devices
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Information Technologies
Digital cameras
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Information Technologies
Digital video cameras
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Information Technologies
Miniaturization of Location Devices - GPS receivers - Gyroscopes
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Information Technologies
chem bio Microsensors
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Opportunities Mobile geospatial computing
New gadgets GI for the masses Tighter integration of data acquisition with spatial databases Real-time 3D model building Spatialized video Augmented reality Sensor-based GISs
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Impediments Low wireless bandwidth
Lack of appropriate models for spatio-temporal fields
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Database Challenges Massively parallel data acquisition
Intelligent pre-fetch strategies Generation of incremental spatial query results and their presentation
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What are these parts of computer science?
GI* CS What are these parts of computer science?
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The CS Foundation for GI*
GIS User Interfaces Graphical Presentation Spatial Reasoning Semantics Geometric Calculations Very Large Data Sets Programming in the Large/Gigantic Complex Operations Data Transfer
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The CS Foundation for GI*
Human-Computer Interaction GIS User Interfaces Graphical Presentation Graphics AI Spatial Reasoning Information Retrieval Semantics Geometric Calculations Computational Geometry Very Large Data Sets Database Systems Software Engineering Programming in the Large/Gigantic Algorithms Complex Operations Networking Data Transfer
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Opportunities
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Opportunities Human-Computer Interaction Graphics AI
Information Retrieval Computational Geometry Database Systems Database Systems Networking LBS Software Engineering Algorithms Networking
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Human-Computer Interaction
Opportunities Human-Computer Interaction In-situ terrain interaction Graphics AI Information Retrieval Database Systems Computational Geometry Computational Geometry Database Systems Software Engineering Algorithms Networking
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Human-Computer Interaction
Opportunities Database Systems Human-Computer Interaction Human-Computer Interaction Graphics Gadgets AI Information Retrieval Computational Geometry Database Systems Software Engineering Algorithms Networking
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Impediments
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Impediments Human-Computer Interaction GIS User Interfaces
Graphical Presentation Graphics AI Spatial Reasoning Information Retrieval Semantics Geometric Calculations Computational Geometry Very Large Data Sets Database Systems Software Engineering Programming in the Large/Gigantic Algorithms Complex Operations Networking Data Transfer
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Impediments Human-Computer Interaction GIS User Interfaces
Graphical Presentation Graphics AI Spatial Reasoning Information Retrieval Semantics Geometric Calculations Computational Geometry Very Large Data Sets Database Systems Software Engineering Programming in the Large/Gigantic Algorithms Complex Operations Networking
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Impediments Human-Computer Interaction GIS User Interfaces
Graphical Presentation Graphics AI Spatial Reasoning Information Retrieval Semantics Geometric Calculations Computational Geometry Very Large Data Sets Database Systems Software Engineering Programming in the Large/Gigantic Algorithms Algorithms Complex Operations Networking
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Challenges Join forces Explore common concepts
Learn to understand different terminologies Develop interfaces Exploit the best of two (or more) worlds
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Will GI* remain the same as we know it today?
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Evolution of Geospatial Information
Phase 1: Abundance of geospatial data • Enabled by geospatial data acquisition technologies • Geospatial data are unconventional, need special treatment • Geospatial databases are often very large • Geospatial data often linked with time-critical data • Analysis primarily through geometric operations
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Evolution of Geospatial Information
Phase 2: Implicit geospatial information • Geospatial descriptions in text form • Enabled by the Web and (digital) archives • Spatial reasoning without explicit geometry • Improved understanding through graphical summaries of text
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Evolution of Geospatial Information
Phase 3: From geospatial to spatial • Spatial (and spatio-temporal) similarities across vastly different scales (from DNA to galaxies) • Ontological differences • Need to capture semantics comprehensively • Analysis requires geometry plus meaning • Opportunity for GI to play a key role
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Result: The Spatial Web
Vast amount of heterogeneous spatial data sources • Needs dramatically better support for richly structured ontologies in databases • Ability to query and integrate across different ontologies • Spatial information as the integrator of data
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Evolution of Geospatial Information
Phase 4: Space as an organizational metaphor in information science • Dealing with spatial information provides a meaningful vocabulary • Metaphorical use of spatial terminology • The ease of communicating spatially • Analytical power of spatial reasoning • Foundation for a new information theory?
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Result Ubiquitous Spatial Databases
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GI IT GIScience Computer Science = Information
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GI IT GIScience Computer Science = Information
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GI IT SIScience Computer Science = Information
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GI IT Se In Science Computer Science = Information
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GI IT Seal Infn Science Computer Science = Information
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GI IT Seosal Inftion Science Computer Science = Information
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GI IT Seotial In formtion Science Computer Science = Information
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GI IT Spatial Information Science Computer Science = Information
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Conclusions Spatial databases has been at the forefront of GI CS for over 10 years New challenges are relative to semantics LBS is the short-term future of applied GI IT More profound issues in the role of spatial in the overall organization of information Needs joined forces, within CS and across relevant disciplines
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Near-Term Success for GI IT
Regular GI articles in Communications of the ACM and IEEE Computer Stronger CS participation in UCGIS Strong CS participation in GIScience 2002 Concentrated Federal Funding programs in GIScience and Engineering (from CISE to GISE or SISE) ACM SIGGIS
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