A Multi-layer Ontology for Data Processing Techniques
Man Tianxing, Nataly Alexandrovna Zhukova, Nguyen Than, Alexander A. Nechaev, Sergey Vyacheslavovich Lebedev · 2019
Currently, data processing technology is applied in various fields. But non-expert researchers are always confused about its diversity and complex processes. Especially due to the instability of real data, the preparation process for extracting information is lengthy. At the same time, different analysis algorithms are based on different mathematical models, so they are suitable for different situations. In the real data processing process, inappropriate data forms and algorithm selections always lead to unsatisfactory results. This paper proposes a multilayer description model of data processing algorithms and implements it based on ontology technology. The model provides a multi-layered structure including data pre-processing, data form conversion, and output model selection so that the user can obtain a complete data processing process from it. The extensibility and interpretability of ontology also provide a huge space for model improvement. The multilevel structure greatly reduces its complexity.