中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
出版日期2024-02-25
卷号N/A
DOI10.1111/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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