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Scientific Knowledge Discovery in Complex Semantic Networks of Geophysical Systems (no pressure…) EGU2012, NP2.6 April 25, 2012, Vienna, Austria Peter Fox (RPI) pfox@cs.rpi.edupfox@cs.rpi.edu Tetherless World Constellation
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Knowledge base
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Rendering of a network logd.tw.rpi.edu/demos
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Network Scale(s) Scale-free networks? –Citation networks –The Web –Semantic networks –Depend on super nodes Semantic networks are ones where the nodes and relations are ‘named and typed’
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Scale free? More likely – multi-scale with some hierarchy …
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What about meaning? Named and typed relationships
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And more…
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‘Complex’ networks Based on information content –Node count and number of links –Spanning height –‘Width’ –Etc. Or complexity metrics, cf. McCabe – number of linearly independent paths through the network Open world networks, differing node relations… (or not)
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Geophysical systems, e.g. marine ecosystems
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11 DataInformationKnowledge ProducersConsumers Context Presentation Organization Integration Conversation Creation Gathering Experience Ecosystem Stimulate Innovation Research Exploration
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Information Modeling Conceptual Logical Physical 12
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Models for ecosystems
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Modern informatics enables a new scale-free** framework approach Use cases Stakeholders Distributed authority Access control Ontologies Maintaining Identity
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Semantics of DPSIR
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Pressure
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State
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Information Model Concept map of information products for an Ecosystem Status report
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Climate CMIP5 catalog exploration Mark Morgan, Luca Cinquini, Eric Guilyardi and Bryan Lawrence Examine Common Information Model Visually explore Data next…
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Visual discovery
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Traversal for new patterns
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Discussion We have the tools to explore these networks, collaboratively… Just beginning to look at a network rendering, i.e. initial queries Current limit is: base information models upon which to develop the initial knowledge base(s) (i.e. ontologies) Compute deductive closure, iterate… ? Thanks for listening. Questions?
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