Applications for Social Networking Strategies in an Agency Context: Exploiting social capital to create richly interlinked knowledge spaces

Applications for Social Networking Strategies in an Agency Context exploiting social capital to create richly interlinked knowledge spaces John Brisbin, Senior Consultant

Structure • Context • n2Mate • M3 Alliance • CI-KISS

• Particular problem for governments • Considerable loss of efficiency • Many existing attempts at machine-level solutions

• Does anyone have a wheel like mine? “Who’s doing what” is the central question Obvious failures: lack of interlinkage 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.

•Metadata about metadata • 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?

Why don't ontologies get reused more often? 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!

Some angles on the problem… 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.

sented by Renato Iannella n2Mate Exploiting social capital to create a standards-rich semantic network

David Peterson BoaB interactive david@boabinteractive.com.au Anne Cregan National ICT Australia anne.cregan@nicta.com.au Rob Atkinson CSIRO Land & Water rob.atkinson@csiro.au John Brisbin BoaB interactive john@boabinteractive.com.au

•Use-case: new researcher 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 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?

•Socially-sensitive metadata Create a useful context or else humans find it impossible to express knowledge

• 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

•3: Implementation options Re-use and leverage existing tools and standards (self-similarity, fractal integrity)

•Key Components Account and session manager Drupal Bookmarking and annotation tool gnizr Storage of instance data Sesame Semantic interpretation MOAT Policy layer PLING Trust & Governance POWDER

Bootstrap: Test with existing resources Watson Talis Swoogle Sindice Falcons Ping the Semantic Web

Sample interface

M3A: Fitzroy Floods Pilot Monitoring Modeling & Management

M3A: Fitzroy Floods Pilot Stabilise and visualise shared knowledge 21 Agencies with complex juisdictional interlinkages and cultures Community of Practice “Professional Privilege”?

3 steps to grouping behaviour I want to belong to a group I want to contribute to my group I want my group to live

Social tools (again) Exploit social platform techniques: • Popularity Rankings o How many SWDs reference this ontology/artefact? • Authority Badges o a way to assert an authority claim over an artefact • Related to o Who uses this ontology? Which ontologies do my friends or respected cohorts use? • Trust & Satisfaction rankings o 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)

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 organically Connect with new challenges

Internal dynamics

Needs analysis

Thank you! www.boab.info

Applications for Social Networking Strategies in an Agency Context: Exploiting social capital to create richly interlinked knowledge spaces

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