• Context

• n2Mate

• M3 Alliance

• CI-KISS

Structure

• Particular problem for governments

• Considerable loss of efficiency

• Many existing attempts at machine-level solutions

“Who’s doing what” is the central questionObvious failures: lack of interlinkage

• Does anyone have a wheel like mine?

If you can’t find the right standard when you need it, you’re probably going to

make a new one.

For the semantic web to take off, it needs:• Manageable number of ontologies• Vocabularies for tagging open data

• Highly re-used• Densely interlinked

Otherwise• we get killed by the n-squared mapping

problem....• we get a very large, very sparse network with

minimal interoperability.

• Who?o owns it, created it, maintains, uses it, endorses it?

• What?o domain, context, process - how is it intended to be

used? Does this suit my use case?

• Quality of Service?o is it accurate? reliable? verifiable? up-to-date? going

to be available when I need it?

•Metadata about metadata

Too hard to find one

Swoogle Ontorank and Termrank

We would like a rank based on frequency of use as a Semantic Web document, and we would like to be able to assess suitability for our intended use case!

Why don't ontologies get reused more often?

Foundational Angle: Create foundational techniques for concept definition, so you get interoperability for free

Automated Matching Angle:Improve automated matching techniques

Social Angle:Encourage more people to use the same ontologies

to describe their data, not create new ones.

Some angles on the problem…

• Context

• n2Mate• M3 Alliance

• CI-KISS

Structure

n2Mate

Exploiting social capital to create a standards-rich semantic network

Presented by

Dr Renato Iannella

David PetersonBoaB interactivedavid@boabinteractive.com.au

Anne CreganNational ICT Australiaanne.cregan@nicta.com.au

Rob AtkinsonCSIRO Land & Waterrob.atkinson@csiro.au

John BrisbinBoaB interactivejohn@boabinteractive.com.au

A researcher is

preparing her

research plan on a

section of the Great

Barrier Reef.

Although she is an

experienced marine

scientist, she is new

to the GBR and to her

host research facility.

•Use-case: new researcher

•Use-case: new researcher

1. standard naming conventions for the GBR regions;

2. standard identifications for the particular reefs;

3. standard data sampling techniques appropriate to the Australian tropics;

4. standard data formats, enumerators, and vocabularies in her datasets;

5. standard citations of agencies, programmes, and people referenced in her work;

6. standard metadata fields and vocabularies to describe her research output;

7. standard project management practice in reporting on her project’s progress.

• Semantic project depends on interlinkage of

ontologies, vocabularies, and standards.

• Humans are central to that effort.

• How to get humans involved effectively?

Create a useful context or else humans find it impossible to express knowledge

•Socially-sensitive metadata

• Recognise existing registers and metadata collections

• Use existing protocols to construct a register of

registers network

• Construct facility with social networking devices

• Popularity Rankings: number of times a standards artefact is

referenced (implemented).

• Authority Badges: mechanism to advertise an authority claim over a

standards artefact.

• Related to (“Friends of a Standard (FOAS)” ): linkages from

standards artefacts to their cohort of implementers.

• Trust ratings: showing satisfaction with the custodian of a standards

artefact.

• Hero worship: most interlinked, most trusted, most useful

A model for n2Mate relationships

Re-use and leverage existing tools and standards (self-similarity, fractal integrity)

•3: Implementation options

Account and session manager Drupal

Bookmarking and annotation tool gnizr

Storage of instance data Sesame

Semantic interpretation MOAT

Policy layer PLING

Trust & Governance POWDER

•Key Components

Watson

Talis

Swoogle

Sindice

Falcons

Ping the Semantic Web

Bootstrap: Test with existing resources

Sample interface

• Context

• n2Mate

• M3 Alliance • CI-KISS

Structure

Monitoring Modeling & Management

M3A: Fitzroy Floods Pilot

Stabilise and visualise shared knowledge

Community of Practice

“Professional Privilege”?

M3A: Fitzroy Floods Pilot

21 Agencies with complex juisdictional interlinkagesand cultures

I want to belong to a group

I want to contribute to my group

I want my group to live

3 steps to grouping behaviour

Social tools (again)

Exploit social platform techniques:

• Popularity Rankingso How many SWDs reference this ontology/artefact?

• Authority Badgeso a way to assert an authority claim over an artefact

• Related too Who uses this ontology? Which ontologies do my friends or

respected cohorts use?

• Trust & Satisfaction rankingso how do users feel about this ontology? Do they trust it? Are they

satisfied with its QoS parameters?

Automated parsing (Open Calais > Drupal)

Rich visualisation (ThinkMap + Freebase)

• Context

• n2Mate

• M3 Alliance

• CI-KISS

Structure

Concept pilot (excel)

Intention to act as social change

platform

• Knowledge

• Integration

• Synthesis

• Service

Keep it Sweet and Simple

Researchers, community groups, conservation agencies

Cultural leaders and keepers of tradition

Visitors and students: the next generation of Reef Guardians

Allow many angles to intersect... Encourage insights

• Over

Grow organicallyConnect with new challenges

Internal dynamics

Needs analysis

Needs analysis

Thank you!

www.boab.info