# Ontology Construction of Digitization Domain for Ancient Architecture
## 4 Application Case
### Experimental Process and Results
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Instance** & **Conceptual Class** & **SUB Conceptual Class** & **Attribute** \\ \hline Technology01 & Ancient architecture & Ancient architecture & Type: three-dimensional laser scanning technology; precision requirements: dimensional error: \(\leq\)20 mm \\ Technology01 & Ancient architecture & Ancient architecture & instrument ranging error or point spacing error: \(\leq\)5 mm; maximum point spacing of a single station: \(\leq\)5 mm; step requirements: see reference specification; reference specification: three-dimensional information acquisition of cultural relics and buildings technical specifications (Beijing local standard DB11/T1796-2020) [23] \\ Technology1 & Ancient architecture & Ancient architecture & 1/1000\(\sim\)1/5000; point position error is not greater than 0.5 mm on the map; image sampling resolution of three levels of standards; see details in reference specification; reference specification: low altitude digital aerial photogrammetry field specification \\ Equipment01 & Digitizing equipment for ancient architecture & 3D laser scanner & Model: CHCNAV zeb-revort; scanning field of view: 270\({}^{\circ}\)-360\({}^{\circ}\); data sampling rate: 43,200 points/s; range: 30 m; measurement accuracy: 3–30 cm (10 min scanning, closed loop); measurement speed: 100 Hz \\ Equipment1 & Digitizing equipment for ancient architecture & UAV & Model: DJI Phantom 4 Pro Operating altitude range: 6000 m; planar accuracy: flight resistance: equipment weight: 1375 g; maximum flight time: about 30 min \\ \hline \hline \end{tabular}
\end{table} 
Table 4: The wooden tower digitization ontology instance attribute table (part). Figure 8: The wooden tower digital ontology (Part). Through the ontology model of the digitization field of ancient architecture and the combination of AI and digitization, the wooden tower can be digitally constructed, and the expectant results are shown in Figure 10. At the same time, the audience can simulate climbing the tower through digital technology for thousands of years and feel the unique charm of the wooden tower. This technology has now landed and has achieved several major breakthroughs such as the digital restoration of ancient build-ings and the integration of ancient and modern technologies. It can be seen that not only for wooden towers, but also for other ancient buildings, the digital construction and visualization of ancient buildings can be realized by building digital domain on-tology models, and through data comparison, the state changes of the building in the past hundred years can be summarized, which is of great significance for protection and restoration. The digital ontology construction work performed in this paper and the ontology model of ancient architecture digitalization field proposed in this paper can break through the knowledge barriers between researchers and cultural relics workers and can adeptly construct digital ontology for general, basic, and simple buildings. However, it also has many limitations. In the face of special structures of ancient buildings or special requirements, a single guideline code operation cannot be applied to all complex buildings and more detailed requirements and human intervention is needed to adjust it. In the future, we will continue this research with the aim of solving the problems caused by the limitations of the construction base. Figure 9: The wooden tower digitization flow chart.