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Volume 15
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10.3390/ijgi15070284
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Design Methodology Integrating Knowledge Graphs and Relational Databases for the Xinjiang Smart Tourism WebGIS System

by
Shaodong Xie
1,
Angze Li
1,
Fei Zheng
2,
Akhylbek Kazhigulovich Kurishbayev
3,
Duman Imanmadi
4 and
Yue Yin
1,*
1
Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China
2
Xinjiang Academy of Geology, Urumqi 831199, China
3
National Academy of Sciences of the Republic of Kazakhstan, Almaty 050010, Kazakhstan
4
Scientific and Educational Technology Platform, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2026, 15(7), 284; https://doi.org/10.3390/ijgi15070284 (registering DOI)
Submission received: 31 March 2026 / Revised: 2 June 2026 / Accepted: 14 June 2026 / Published: 25 June 2026
Versions Notes

Abstract

The rapid advancement of internet technology has transformed the tourism industry from traditional offline services to digital networked, and intelligent platforms. WebGIS has become critical infrastructure for tourism information retrieval and spatial decision-making. However, the growing volume and heterogeneity of multi-source tourism data expose fundamental limitations in conventional relational database architectures, particularly in handling complex spatial semantic queries. To address this, the present study proposes a WebGIS design methodology that integrates knowledge graphs with relational databases through a dual-database collaborative architecture. Using tourist attraction data from China’s Xinjiang Uyghur Autonomous Region as a case study, a prototype Xinjiang Smart Tourism WebGIS system was constructed, which consists of an asynchronous synchronization mechanism based on Change Data Capture (CDC) to ensure data consistency across heterogeneous databases. Subsequently, tourism semantic queries of varying depths were constructed and comprehensively tested across different data scales. The experimental results indicate that the proposed methodology effectively decouples business transactions and supports complex relationship computations, achieving shorter cross-domain semantic query times and higher latency stability. These findings offer practical guidance for designing high-performance regional tourism information services.
Keywords: smart tourism; WebGIS; knowledge graphs; relational database; dual-database architecture smart tourism; WebGIS; knowledge graphs; relational database; dual-database architecture

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MDPI and ACS Style

Xie, S.; Li, A.; Zheng, F.; Kurishbayev, A.K.; Imanmadi, D.; Yin, Y. Design Methodology Integrating Knowledge Graphs and Relational Databases for the Xinjiang Smart Tourism WebGIS System. ISPRS Int. J. Geo-Inf. 2026, 15, 284. https://doi.org/10.3390/ijgi15070284

AMA Style

Xie S, Li A, Zheng F, Kurishbayev AK, Imanmadi D, Yin Y. Design Methodology Integrating Knowledge Graphs and Relational Databases for the Xinjiang Smart Tourism WebGIS System. ISPRS International Journal of Geo-Information. 2026; 15(7):284. https://doi.org/10.3390/ijgi15070284

Chicago/Turabian Style

Xie, Shaodong, Angze Li, Fei Zheng, Akhylbek Kazhigulovich Kurishbayev, Duman Imanmadi, and Yue Yin. 2026. "Design Methodology Integrating Knowledge Graphs and Relational Databases for the Xinjiang Smart Tourism WebGIS System" ISPRS International Journal of Geo-Information 15, no. 7: 284. https://doi.org/10.3390/ijgi15070284

APA Style

Xie, S., Li, A., Zheng, F., Kurishbayev, A. K., Imanmadi, D., & Yin, Y. (2026). Design Methodology Integrating Knowledge Graphs and Relational Databases for the Xinjiang Smart Tourism WebGIS System. ISPRS International Journal of Geo-Information, 15(7), 284. https://doi.org/10.3390/ijgi15070284

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