applications for social networking strategies in an agency context: exploiting social capital to...
DESCRIPTION
Presentation of three project description to the 2008 International Metadata Open Forum, SydneyTRANSCRIPT
Applications for Social Networking
Strategies in an Agency Context
exploiting social capital to createrichly interlinked knowledge
spaces
John Brisbin, Senior Consultant
• 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 [email protected]
Anne CreganNational ICT [email protected]
Rob AtkinsonCSIRO Land & [email protected]
John BrisbinBoaB [email protected]
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