The project goal is to create an infrastructure that will permit to evaluate data in precision livestock farming along the value chain with the stages breeding/piglet production, fattening, and slaughterhouse across farms, farming branches, applications and standards. This includes data from external sources, e.g. on veterinary medical products and feed stuff. The results of the project are generic semantic models, which describe data independent of their syntactic structure and thus allow to easily convert data between different formats of representation. Additionally, pilot software modules will be developed that integrate data for comprehensive analysis and crosslinking. In an initial requirements analysis, the structure of existing standards and data sources is investigated. Based on sematic web technologies, appropriate ontologies are developed, which describe the relations between concepts formally in a machine readable manner. A concept for a web frontend to allow for ontology-based navigation of distributed data pools is created. Subsequently, links to various data sources are realized. The central software component representing the data of an enterprise as a 'virtual farm” is encapsulated within an isolated container, which communicates via Web Services. Demonstrators will show the opportunities of an integrative view on data.