Scientific Knowledge Discovery in Complex Semantic Networks of Geophysical Systems (no pressure…) EGU2012, NP2.6 April 25, 2012, Vienna, Austria Peter.

Scientific Knowledge Discovery in Complex Semantic Networks

of Geophysical Systems (no pressure…)

EGU2012, NP2.6

April 25, 2012, Vienna, AustriaPeter Fox (RPI) [email protected] World Constellation

Knowledge base

Rendering of a network

logd.tw.rpi.edu/demos

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’

Scale free?

More likely – multi-scale with some hierarchy …

What about meaning?

Named and typed relationships

And more…

‘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)

Geophysical systems, e.g. marine ecosystems

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Data Information Knowledge

Producers Consumers

Context

PresentationOrganization

IntegrationConversation

CreationGathering

Experience• Ecosystem

• Stimulate

Innovation

Research

Exploration

Information Modeling

• Conceptual

• Logical

• Physical

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Models for ecosystems

Modern informatics enables a new scale-free** framework approach

• Use cases• Stakeholders• Distributed

authority• Access control• Ontologies• Maintaining

Identity

Semantics of DPSIR

Pressure

State

Information Model

Concept map of information products for an Ecosystem Status report

Climate

• CMIP5 catalog exploration

• Mark Morgan, Luca Cinquini, Eric Guilyardi and Bryan Lawrence

• Examine Common Information Model

• Visually explore• Data next…

Visual discovery

Traversal for new patterns

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?