There is presented application of Graph Data Base technology in knowledge engineering task concerned with knowledge representation of complex structures. The first example is graph representation of composition of tractor gearbox. It is an example of application of static partonomy relation. Adequate codding of that relation in Graph Data Base is easily expressed in Cypher language. There were presented some applications of Graph Data Base useful in management of technical object existence in different “life” phases, as design, production, maintenance and recycling. The second example concerns the Graph representation of activity structure. Such structures was built based on agricultural tractor’s technical revisions system. Created Data Base allows for processing the queries referred to the questions of what activities in what period should be performed to maintain the agricultural tractor ready to work in good technical condition.
The Graph Data Base technology is the first step to create semantic systems for data storing and processing in order to extract knowledge and information useful in precise physical process management.
REFERENCES(26)
1.
Chartrand G., Zhang Q. First Course in Graph Theory, Dover Publications (February 15, 2012), ISBN-10: 0486483681, DOI: 10.1007/978-93-86279-39-2.
Chunliu Z., Xiaobing L., Fanghong X., Hongguang B., Kai L. Research on static service BOM transformation for complex products. Advanced Engineering Informatics 36, 2018, 146-162, DOI: https://doi.org /10.1016/j.aei.2018.02.008.
Chłopek Z., Debski B., Szczepański K. Theory and practice of inventory pollutant emission from civilization-related sources. Share of the emission harmful to health from Road Transport, The Archives of Automotive Engineering – Archiwum Motoryzacji, 2018, 79, 1, 5-22, DOI: http://dx.doi. org/10.14669/AM.VOL.79.ART1.
Gajek A. Directions for development of periodic technical inspection for motor vehicles safety systems, The Archives of Automotive Engineering – Archiwum Motoryzacji, 2018, 80, 2, 37-51, DOI: http://dx.doi. org/10.14669/AM.VOL80.ART3.
Gupta S. Neo4j Essentials, Leverage the power of Neo4j is a design, Implement, and Deliver top-notch projects, 2015 Packt Publishing Ltd., ISBN 978-1-78355-517-8.
Ji Guoli, Gong Daxin, Freddie Tsui, Analysis and implementation of the BOM of a tree-type structure in MRPII, Journal of Materials Processing Technology, Volume 139, Issues 1–3, 2003, Pages 535-538, DOI: https://doi.org/10.1016/S0924-...,.
Lotko A. Measuring the behavioural loyalty of garage customers, The Archives of Automotive Engineering – Archiwum Motoryzacji, 2018, 79, 1, 37-52, DOI: http://dx.doi. org/10.14669/AM.VOL79.ART3.
Munira Mohd Ali, Rahul Rai, J. Neil Otte, Barry Smith. A product life cycle ontology for additive manufacturing. Computers in Industry, 105, 2019, 191-203, DOI: https://doi.org /10.1016/j.compind.2018.12.007.
Rawia Ahmed Hassan E.L. Rashidy, Peter Hughes, Miguel Figueres-Esteban, Chris Harrison, Coen Van Gulijk. A big data modeling approach with graph databases for SPAD risk, Safety Science, 110, Part B, 2018, 75-79, DOI: https://doi.org/10.1016/j.ssci....
Sasaki B., M., Chao J., Howard R. Graph databases For Beginners, Neo4j EBook. The #1 Platform for connected Date, https://neo4j.com/ (access data June, 11th, 2018).
Sowa J. F. Knowledge Representation: Logical, Philosophical, and Computational Foundations John F. Sowa Pacific Grove, CA: Brooks/Cole, 2000, xiv+594 pp; hardbound, DOI: 10.1162/089120101750300544.
Sowa, J. F. Conceptual graphs as a universal knowledge representation, Computers & Mathematics with Applications, Volume 23, Issues 2–5, 1992, Pages 75-93, DOI: https://doi.org /10.1016/0898-1221(92)90137-7.
Surblys V. Ślaski G. Pikosz H. The usage of a laser height sensors for estimating road unevenness profile, The Archives of Automotive Engineering – Archiwum Motoryzacji, 2018, 79, 1, 5-106, DOI: http://dx.doi. org/10.14669/AM.VOL79.ART7.
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