Infrastructure for Knowledge Sharing

The aim of this infrastructure is the acquisition, management and sharing of knowledge about socio-economic networks. The infrastructure is based on the lightweight Semantic Web and Linked Open Data (LOD) principles:

  • The use of URIs to identify objects;
  • The use of Resource Description Framework (RDF) to represent links between objects.

The RDF data model is based upon the idea of making statements about objects (in particular Web resources) in the form of subject-predicate-object expressions. These expressions are known as triples in the RDF terminology. The subject denotes the resource, and the predicate expresses a relationship between the subject and the object. A collection of RDF statements intrinsically represents a labeled, directed multi-graph. As such, an RDF-based data model is naturally suited to certain kinds of knowledge representation, such as networks.

Based on this well standardized, yet flexible back-end foundation, we are building a web-based user interface (UI) that will enable users and automated agents to access, add and modify the data. The data from the diverse sources (as defined in the following tasks) are presented appropriately with special emphasis on simple, yet rich and powerful web-based UI. The properties of the proposed front-end system are:

  • Reusability of existing systems with high connectivity to Linked Open Data (LOD) like Wikipedia, which target short development time and user pre-acquaintance with the user interface and therefore a steep learning curve.
  • A customized domain specific solution for network visualization, editing and analysis that enables power users and decision makers in-depth overview of the data. The knowledge sharing platform is a multitier architecture application providing different frontends for different classes of users as well as providing the raw underlying LOD access (API) for automated agents.