Semantic Relation Finder

Linked Data stands for semantically well structured, interconnected, syntactically interoperable datasets that are distributed among several repositories either inside or outside organisations. The term Linked Data refers to a set of best practices for publishing and connecting structured data on the Web. Key technologies that support Linked Data are URIs (a generic means to identify entities or concepts in the world), HTTP (a simple yet universal mechanism for retrieving resources, or descriptions of resources), and RDF (a generic graph-based data model with which to structure and link data that describes things in the world). Linked Data is a methodology for providing relationships between things (data, concepts and documents) anywhere on the web, using URI’s for identifying, RDF for describing and HTTP for publishing these things and relationships, in a way that they can be interpreted and used by humans and software.

Interactive Relationship Discovery in RDF Data

The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access.