REPRESENTATION OF COMPLEX OBJECT AND PROCESS STRUCTURES IN GRAPH DATA BASE ON THE EXAMPLE OF AGRICULTURAL TRACTOR

Author:

Pietrzyk Robert1ORCID,Marciniak Andrzej1ORCID

Affiliation:

1. Transport and Computer Science, University of Economics and Innovation in Lublin, Polska

Abstract

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.

Publisher

Siec Badawcza Lukasiewicz - Przemyslowy Instytut Motoryzacji

Reference26 articles.

1. A First Course in Graph Theory and Combinatorics

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.

3. 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.

4. 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.

5. 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.

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