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Possibilities of Use of the Active Knowledge Databases in the Agricultural Sector

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Book cover Automation Control Theory Perspectives in Intelligent Systems (CSOC 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 466))

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Abstract

This contribution deals with the potential of the so called active knowledge database in conjunction with the agricultural resort. The authors of this contribution initially focus attention on the defining the term active databases, their possible roles and expectations associated with them. Agriculture of the Czech Republic certainly has some potential, which can initiate a qualitative change in the functioning of the entire agricultural sector. The authors also deal with the possibility of the creation of such databases and derive their principles from classical relational databases. The crucial matters of this examination will relational database technology (especially the issue of the database triggers) and the theory of measurement and evaluation of the quality of software products. Active database must be created only on the principles of relational database technology and on these principles must also work. The proposed principles of active databases are then verified through a functional prototype and then are generalized. On the basis of these conclusions are then specified the recommendations, which can significantly increase the benefits of this phenomenon.

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Acknowledgements

The results and knowledge included herein have been obtained owing to support from the Internal grant agency of the Faculty of Economics and Management, Czech University of Life Sciences in Prague, grant name: “The potential of open data in the agricultural sector with regard to their correctness and aggregation”.

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Correspondence to Václav Vostrovský .

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Vostrovský, V., Tyrychtr, J., Hanzlík, P. (2016). Possibilities of Use of the Active Knowledge Databases in the Agricultural Sector. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Silhavy, P., Prokopova, Z. (eds) Automation Control Theory Perspectives in Intelligent Systems. CSOC 2016. Advances in Intelligent Systems and Computing, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-33389-2_36

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  • DOI: https://doi.org/10.1007/978-3-319-33389-2_36

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