Knowledge-driven spatial competitive intelligence for tourism
文献类型:期刊论文
作者 | Gao, Jialiang4; Peng, Peng4; Lu, Feng3,4; Wang, Shu4; Xie, Xiaowei4; Claramunt, Christophe2 |
刊名 | TRANSACTIONS IN GIS
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出版日期 | 2024-02-25 |
卷号 | N/A |
DOI | 10.1111/tgis.13145 |
产权排序 | 1 |
文献子类 | Article ; Early Access |
英文摘要 | Competition among tourism enterprises is an ineluctable component of sustainable tourism growth, requiring comprehensive studies to understand its dynamic and develop appropriate strategies. The literature employs text mining or statistical analyses to identify correlations between tourism areas as competitive relationships. However, this approach may not be fully applicable, due to the sparsity of crucial coexistence phenomena, and may fail to investigate fine-grained attractions' competition inside destination using large-scale geospatial data. To overcome the limitations, this study proposes a knowledge-driven competitive intelligence framework for tourism management, utilizing knowledge graph (KG) construction and inference technologies. First, multi-mode heterogeneous tourism data are integrated into a unified KG, including tourist check-in, online text, and basic geographic information. Second, the spatial-dependent GNN-based model absorbing abundant spatial semantic knowledge from tourism-oriented KG can enhance the performance of competition reasoning. Third, with multiple analyses via symbolic queries on KG, a comprehensive panorama of competition situations can be revealed. |
WOS关键词 | AGGLOMERATION |
WOS研究方向 | Geography |
语种 | 英语 |
WOS记录号 | WOS:001172800200001 |
出版者 | WILEY |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/203333] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
作者单位 | 1.Naval Acad Res Inst, Lanveoc, France 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, Jialiang,Peng, Peng,Lu, Feng,et al. Knowledge-driven spatial competitive intelligence for tourism[J]. TRANSACTIONS IN GIS,2024,N/A. |
APA | Gao, Jialiang,Peng, Peng,Lu, Feng,Wang, Shu,Xie, Xiaowei,&Claramunt, Christophe.(2024).Knowledge-driven spatial competitive intelligence for tourism.TRANSACTIONS IN GIS,N/A. |
MLA | Gao, Jialiang,et al."Knowledge-driven spatial competitive intelligence for tourism".TRANSACTIONS IN GIS N/A(2024). |
入库方式: OAI收割
来源:地理科学与资源研究所
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