Semantic search: finding KTBL's planning data and reusing them in IT systems
Daniel Martini | Daniel Herzig | Günter Ladwig | Martin Kunisch
The effort to investigate relevant data for planning purposes and preparation of labour and investments in agricultural production as well as reworking and entering them for reuse in calculation tools and farm management information systems are major challenges for decisions based on data. The following paper presents a solution which on the one hand simplifies targeted finding of planning data within KTBL’s data sets using a semantic search engine and on the other hand enables simple reuse and processing of these data by providing them using Linked Open Data principles.
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