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CyberInfrastructure for Geography?. Mark Gahegan GeoVISTA Center, Department of Geography The Pennsylvania State University, USA. Four example cyber-projects. The Geosciences Network (GEON): www.geongrid.org. Human Environment Regional Observatories (HERO): www.hero.psu.edu.
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CyberInfrastructure for Geography? Mark Gahegan GeoVISTA Center, Department of Geography The Pennsylvania State University, USA
Four example cyber-projects The Geosciences Network (GEON): www.geongrid.org Human Environment Regional Observatories (HERO): www.hero.psu.edu Learning Activities in Digital Libraries: www.dialogplus.org Archaeometry: GeoInformatics: Edinburgh, Ontology and other ways of knowing
CyberInfrastructure for WHOM? • Geography community is very diverse: • For example, 2007 AAG meeting: • 68 specialty meetings • 60 concurrent sessions • 4000+ talks • …can a cyberinfrastructure span geography? • …how do we make it relevant to diverse a community? GeoInformatics: Edinburgh, Ontology and other ways of knowing
CyberInfrastructure for WHAT? • Distributed, high performance computing? • Discover, gain access to, distributed resources? • Shared tools and methods (analysis environment)? • An archive / repository for data? • A distributed collaboratory? • Crisis / disaster planning, support, mitigation? • A set of educational services and activities? GeoInformatics: Edinburgh, Ontology and other ways of knowing
Geological Survey of Canada Chronos Livermore KGS USGS ESRI CUAHSI PoP node Data Cluster Compute cluster Partner services 1TF cluster Partner Projects CyberInfrastructure: The GEON GRID GeoInformatics: Edinburgh, Ontology and other ways of knowing
Representing living knowledge • “Knowledge keeps no better than fish” -- Alfred North Whitehead • “You cannot put your foot in the same stream twice” -- Heraclitus • “You can know the name of a bird in all the languages of the world, but when you're finished, you'll know absolutely nothing whatever about the bird... So let's look at the bird and see what it's doing -- that's what counts.” -- Richard Feynman GeoInformatics: Edinburgh, Ontology and other ways of knowing
Where does meaning come from? • Domain understanding / theory (ontology) • The way things are done (epistemology) • How are resources created and used (work practices / situations)? • Negotiation among the community of users (social network, group cognition) • We ‘know’ things in many ways: • Theoretical, Experiential, Procedural • i.e. the interplay of top-down and bottom-up knowledge played out in private and social situations GeoInformatics: Edinburgh, Ontology and other ways of knowing
Knowledge Goals of Cyber-Infrastructure • Help communities of researchers and educators to do better science by sharing their resources: computing power, data, tools, models, protocols, results • BUT…Making resources available is not the same as making them useful to others • Can we also share meaning? • Litmus tests: • Can we remember what we did? • Will future generations of scientists be able to follow our work? GeoInformatics: Edinburgh, Ontology and other ways of knowing
“Knowledge soup”–Sowa, 2002 Little round planet in a big universe, Sometimes it looks blessed, sometimes it looks cursed. It depends what you look at obviously… But even more, it depends on the way that you see. (Bruce Cockburn: “Child of the Wind”, 1994) GeoInformatics: Edinburgh, Ontology and other ways of knowing
What’s in the soup? A nexus of knowledge structures (Whitehead, 1923) GeoInformatics: Edinburgh, Ontology and other ways of knowing
Remembering situations of use GeoInformatics: Edinburgh, Ontology and other ways of knowing
Situations GeoInformatics: Edinburgh, Ontology and other ways of knowing
What’s in the soup? A nexus of knowledge structures (Whitehead, 1923) GeoInformatics: Edinburgh, Ontology and other ways of knowing
Situating e-resources in the knowledge nexus GeoInformatics: Edinburgh, Ontology and other ways of knowing
GeoInformatics: Edinburgh, Ontology and other ways of knowing
GeoInformatics: Edinburgh, Ontology and other ways of knowing
Perspectives as filters Perspectives filter an information space according to particular situations. Perspectives A and B preferentially select different types of resources and relations; the ability to view perspectives can show how someone else made sense of a given set of resources. GeoInformatics: Edinburgh, Ontology and other ways of knowing
Four perspectives on a “seismic velocity” concept (red node). a) Intensional concept structure. b) A task that describes how seismic velocity can be measured. c) A social network built around users of the concept. d) Data resources that have been used to describeseismic velocity. GeoInformatics: Edinburgh, Ontology and other ways of knowing
Concept use and evolution Evolution of “Depositional environment” concept through use by different researchers over time, progressing from upper left to lower right. GeoInformatics: Edinburgh, Ontology and other ways of knowing
Basic types Geon Themes: Resources: Methods: Personnel: Institutions: Articles: … Styling… Perspectives… Situations… Connections to web resources ConceptVista: What to represent? GeoInformatics: Edinburgh, Ontology and other ways of knowing
Perspectives for GEON GeoInformatics: Edinburgh, Ontology and other ways of knowing
GeoInformatics: Edinburgh, Ontology and other ways of knowing
GeoInformatics: Edinburgh, Ontology and other ways of knowing
GeoInformatics: Edinburgh, Ontology and other ways of knowing
Navigating through conceptual universes GeoInformatics: Edinburgh, Ontology and other ways of knowing
Combining perspectives: e.g. GEON institutions, publications and personnel GeoInformatics: Edinburgh, Ontology and other ways of knowing
Navigation strategies GeoInformatics: Edinburgh, Ontology and other ways of knowing
Summary • Rich, Living Knowledge • “Knowledge keeps no better than fish” -- Alfred North Whitehead • “You cannot put your foot in the same stream twice” -- Heraclitus • “…So let's look at the bird and see what it's doing -- that's what counts.” -- Richard Feynman • Perspectives allow scientists to ‘describe what they know’ onto shared ontological resources. • Irony of Ontology is that ontologically-based languages can be used to represent its obverse—Epistemology. GeoInformatics: Edinburgh, Ontology and other ways of knowing