Linked Open Data (LOD) shows enormous potential in becoming the next big evolutionary step of the WWW. However, this potential remains largely untapped due to missing usage and commercialisation strategies. CODE’s vision is to establish the foundation for a web-based, commercially oriented ecosystem for Linked Open Data. This ecosystem establishes a sustainable and commercial value-creation-chain among traditional (e.g. data provider and consumer) and non-traditional (e.g. data analyst) roles in data marketplaces. Monetary incentives will motivate people to analyse, organise and integrate LOD with unstructured information sources thereby increasing data quality and quantity. Our use case focuses on research papers as a source for mining facts and their integration into LOD repositories and light-weight ontologies. Hence, we will leverage the wealth of knowledge contained in research publications on a semantic, machine-readable level by creating the Linked Science Data cloud. This cloud will have an impact on innovation driven businesses by making scientific knowledge more accessible and transparent. Therefore, we will research and develop:

crowd-sourcing enabled semantic enrichment & integration techniques for integrating facts contained in unstructured information into the LOD cloud federated, provenance-enabled querying methods for fact discovery in LOD repositories web-based visual analysis interfaces to support human based analysis, integration and organisation of facts socio-economic factors - roles, revenue-models and value chains - realisable in the envisioned ecosystem.