Panel at the
Extending Database Conference, in Venice, Italy. Participation to the panel :
Database Technology and Behavior, Security, Ethics, Rights and Duties of Citizens
Crowdsourcing relies on potentially huge numbers of on-line partic-
ipants to resolve data acquisition or analysis tasks. It is an exploding
area that impacts various domains, ranging from scientific knowledge
enrichment to market analysis support. But currently, existing crowd
platforms rely mostly on low level programming paradigms, rigid data
models and poor participant profiles, which yields severe limitations.
The low- level nature of existing solutions prevents the design of
complex data acquisition workflows, that could be executed, composed,
searched and even be proposed by participants them- selves. Taking into
account the quality, uncertainty, inconsistency and representativeness
of participant contributions is still an open problem. Methods for
assigning a task to the correct participant according to his trust,
motivation and expertise, automatically improving crowd execution time,
computing optimal participant rewards, are missing. Similarly, usual
crowd campaigns produce isolated and rigid data sets: A flexible and
common data model for the produced knowledge about data and participants
could allow participative knowledge acquisition. To overcome these
challenges, Headwork will define:
- Rich workflow, participant, data and knowledge models to capture
various kind of crowd applications with complex data acquisition tasks
and human specificities
- Methods for deploying, verifying, optimizing, but also monitoring and adapting crowd- based workflow executions at run time.
Partners
To reach its goals, Headwork will rely on two experts of large participative knowledge acquisition platforms
- Cesco (Musée National d'Histoire Naturelle)
- FouleFactory
- Valda (INRIA Paris)
- Druid (Rennes 1)
- Links (Inria-Lille)
- Sumo (Inria-Bretagne)
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