Scientific Knowledge Discovery in Complex Semantic Networks

of Geophysical Systems (no pressure…)

EGU2012, NP2.6

April 25, 2012, Vienna, AustriaPeter Fox (RPI) pfox@cs.rpi.eduTetherless 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?