Blackboard Data Spaces for the Elicitation of Community-based Lightweight Ontologies

Abstract

In open information systems, users can act as consumers and producers of meaningful content. They can have an active role in capturing the semantics that they use within their communities. This approach use the notion of web blackboards, which provide a playground for participants to reach better agreements about a some topic. Multiple blackboards can be connected, forming networks where the content within a blackboards automatically spread. In this approach, the blackboards might converge or diverge in distinct variants, providing a model where distinct local agreements or ontology views can co-exist within a system. The social construction dynamics benefit from mapping analysis and pattern observation, aiming to increase the underlying community awareness. In the same way, these dynamics are persisted, aiming to capture the community shared understanding across time.