The Internet is becoming an integral element of the value chain supporting as well as enabling new business interactions and transactions. However, small and medium enterprises (SMEs) are not yet leveraging the full potential of the Internet for more efficient, digitally supported and data-driven business insights and actions. For example, product and service offerings lack efficient detection and matching with sourcing requirements resulting in significant search costs for potential customers. In research and development, technology intelligence lacks easy detectability of technological opportunities and threats combined with efficient matching to own competences and solutions.

The international joint project "Fusepool" develops automated tools and intelligent interfaces for efficiently matching data harvested from various sources to internal business needs, be they in research and development, product marketing or areas such as product branding, public opinion, and civil emergency support. The project builds on proven technologies developed by the project partners as well as external providers, such as Semantic Similarity Matching algorithms or the Good Relations Ontology for the publication and quotation of product information. Existing systems of knowledge representation are translated into reusable Semantic Web ontologies. For example, data from multiple, diverse sources are gathered, analyzed, and integrated in a reusable data format RDF (Resource Description Framework) and published as Linked Open Data (LOD).

The core benefit of project "Fusepool" concerns more efficient and effective detection and matching of data for real-time decision making based on rapid access to timely, context-aware, and needs-oriented information.