Building Consensus via a Semantic Web Collaborative Space George Anadiotis1, Konstantinos Kafentzis1, John Pavlopoulos1, Adam Westerski2 1: IMC Technologies S.A. 2: Universidad Politecnica de Madrid 17/04/2012 Building Consensus via a Semantic Web Collaborative Space

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Presentation Structure 1.  Background and related work 2.  A deliberative, discursive mode of decision making: the eDialogos Consensus process and platform 3.  Semantic Web Technology to Facilitate Collaborative Decision Making: the eDialogos Consensus Ontology 4.  Argumentation Graphs and User Feedback to Estimate Agreement: the Consensus Rate Model 5.  Conclusions and Outlook

Building Consensus via a Semantic Web Collaborative Space

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Presentation Structure 1.  Background and related work 2.  A deliberative, discursive mode of decision making: the eDialogos Consensus process and platform 3.  Semantic Web Technology to Facilitate Collaborative Decision Making: the eDialogos Consensus Ontology 4.  Argumentation Graphs and User Feedback to Estimate Agreement: the Consensus Rate Model 5.  Conclusions and Outlook

Building Consensus via a Semantic Web Collaborative Space

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IBIS: A tool for all reasons

•  Question (Problem/Issue) •  Idea (Position) •  Argument For/Against Building Consensus via a Semantic Web Collaborative Space

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IBIS spinoffs: ICT for Governance and Policy Modelling tools •  Argument Mapping: tools based on a GUI to enable users to capture Questions, Ideas, Arguments •  Assumptions: –  Laying down the arguments will result in an enlightened understanding of the problem –  Decision will be reached via offline procedures –  A facilitator will catalyze the process

•  Problem: User-friendly tools, but limited functionality glorified mind maps Building Consensus via a Semantic Web Collaborative Space

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IBIS spinoffs: ICT for Governance and Policy Modelling tools •  Argumentation grounding: tools based on formal argumentation to enable users to document options, argumentation structure and strength •  Assumptions –  Documenting all the arguments, their logical premises and structure is possible –  Applying reasoning rules will enable tools to provide the ’algorithmically optimal’ solution

•  Problem: Complex and unappealing user experience made by and for argumentation experts.

Building Consensus via a Semantic Web Collaborative Space

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Citizen Engagement for Governance and Policy Modelling •  Use of Social Media to connect citizens and all other stakeholders to decision-making and governance •  Contributions at a vast scale can lead to remarkably powerful emergent phenomena: •  Idea synergy, the long tail, many eyes, wisdom of the crowds l 

Existing Social Media are not designed for CE: l 

Disorganized content, low signal-to-noise ratio, quantity rather than depth, Polarization, dysfunctional argumentation

Building Consensus via a Semantic Web Collaborative Space

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Presentation Structure 1.  Background and related work 2.  A deliberative, discursive mode of decision making: the eDialogos Consensus process and platform 3.  Semantic Web Technology to Facilitate Collaborative Decision Making: the eDialogos Consensus Ontology 4.  Argumentation Graphs and User Feedback to Estimate Agreement: the Consensus Rate Model 5.  Conclusions and Outlook

Building Consensus via a Semantic Web Collaborative Space

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The Goal A methodology and platform in the middle ground between completely unstructured, general purpose approaches and highly structured, formal argumentation approaches. •  Making the entry barrier for users as low as possible: •  Social Media platform

•  Enabling compatibility with existing approaches: •  Building on IBIS and semantic grounding/interoperability l 

Enabling, encouraging and making use of user generated content and feedback in every phase of the process: l 

Designing and implementing a model that estimates argument strength and agreement level based on user feedback

Building Consensus via a Semantic Web Collaborative Space

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eDialogos evolution

2006

Building Consensus via a Semantic Web Collaborative Space

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eDialogos evolution

2011

Building Consensus via a Semantic Web Collaborative Space

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eDialogos evolution

2012

Building Consensus via a Semantic Web Collaborative Space

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Architecture

•  Working Groups->Issues->Positions->Arguments / Notes •  Debating Period / Voting Period

Building Consensus via a Semantic Web Collaborative Space

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Interaction

•  Moderators: raise Issues, set periods •  All: add positions, notes/arguments, rate, vote Building Consensus via a Semantic Web Collaborative Space

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Presentation Structure 1.  Background and related work 2.  A deliberative, discursive mode of decision making: the eDialogos Consensus process and platform 3.  Semantic Web Technology to Facilitate Collaborative Decision Making: the eDialogos Consensus Ontology 4.  Argumentation Graphs and User Feedback to Estimate Agreement: the Consensus Rate Model 5.  Conclusions and Outlook

Building Consensus via a Semantic Web Collaborative Space

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Ontology Grounding

Building Consensus via a Semantic Web Collaborative Space

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Presentation Structure 1.  Background and related work 2.  A deliberative, discursive mode of decision making: the eDialogos Consensus process and platform 3.  Semantic Web Technology to Facilitate Collaborative Decision Making: the eDialogos Consensus Ontology 4.  Argumentation Graphs and User Feedback to Estimate Agreement: the Consensus Rate Model 5.  Conclusions and Outlook

Building Consensus via a Semantic Web Collaborative Space

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Consensus Rate Definitions •  Position a •  Arguments b (pro) and c (con) •  Rating arguments (like/dislike) •  Each edge is either For or Against •  Node’s color & size reflects social opinion Building Consensus via a Semantic Web Collaborative Space

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Consensus Rate Algorithm •  Start from the leaves and measure opinion (f & g) •  Normalize over all ratings in all Positions: …out of all the people who could have rated •  Aggregate on the parent (e) •  Rate of e + Sum of rates of children •  Account deviation: How much each child deviates from siblings Building Consensus via a Semantic Web Collaborative Space

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Presentation Structure 1.  Background and related work 2.  A deliberative, discursive mode of decision making: the eDialogos Consensus process and platform 3.  Semantic Web Technology to Facilitate Collaborative Decision Making: the eDialogos Consensus Ontology 4.  Argumentation Graphs and User Feedback to Estimate Agreement: the Consensus Rate Model 5.  Conclusions and Outlook

Building Consensus via a Semantic Web Collaborative Space

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Conclusions and Outlook • 

•  l 

Contributions • 

A middle-ground approach for ICT for Governance and Policy Modelling

• 

Semantic interoperability and grounding: the eDialogos Consensus ontology

• 

Metric definition: the eDialogos Consensus rate

Outlook: Deployment at European Academy of Allergy and Clinical Immunology (7000 users) Future work l 

Argument mapping GUI

l 

Open source / tool convergence

l 

Federated decision making

l 

Strategic participation game

Building Consensus via a Semantic Web Collaborative Space

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Questions??

Anadiotis et al: Facilitating Dialogue – Using Semantic Web Technology for eParticipation. ESWC 2010 Anadiotis et al: Semantics-powered Virtual Communities and Open Innovation for a Structured Deliberation Process. Workshop on Semantics for Governance and Policy Modelling, ESWC 2011 Building Consensus via a Semantic Web Collaborative Space

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Building Consensus via a Semantic Web Collaborative ...

Use of Social Media to connect citizens and all other stakeholders to ... 20. Consensus Rate Definitions. • Position a. • Arguments b (pro) and c (con).
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