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Urbankg: An urban knowledge graph system
Every day, our living city produces a tremendous amount of spatial-temporal data, involved
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …
Spatio-temporal urban knowledge graph enabled mobility prediction
With the rapid development of the mobile communication technology, mobile trajectories of
humans are massively collected by Internet service providers (ISPs) and application service …
humans are massively collected by Internet service providers (ISPs) and application service …
Knowledge-driven site selection via urban knowledge graph
Site selection determines optimal locations for new stores, which is of crucial importance to
business success. Especially, the wide application of artificial intelligence with multi-source …
business success. Especially, the wide application of artificial intelligence with multi-source …
Knowsite: Leveraging urban knowledge graph for site selection
Site selection determines optimal locations for new stores, which is of crucial importance for
business success and urban development. Especially, the wide application of artificial …
business success and urban development. Especially, the wide application of artificial …
Interactive analysis of epidemic situations based on a spatiotemporal information knowledge graph of COVID-19
B Jiang, X You, K Li, T Li, X Zhou, L Tan - Ieee Access, 2020 - ieeexplore.ieee.org
In view of the lack of data association in spatiotemporal information analysis and the lack of
spatiotemporal situation analysis in knowledge graphs, this article combines the semantic …
spatiotemporal situation analysis in knowledge graphs, this article combines the semantic …
Construct and query a fine-grained geospatial knowledge graph
B Wei, X Guo, X Li, Z Wu, J Zhao, Q Zou - Data Science and Engineering, 2024 - Springer
In this paper, we propose the fine-grained geospatial knowledge graph (FineGeoKG), which
can capture the neighboring relations between geospatial objects. We call such neighboring …
can capture the neighboring relations between geospatial objects. We call such neighboring …
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs
The number of published research papers has experienced exponential growth in recent
years, which makes it crucial to develop new methods for efficient and versatile information …
years, which makes it crucial to develop new methods for efficient and versatile information …
Riso-tree: An efficient and scalable index for spatial entities in graph database management systems
Y Sun, M Sarwat - ACM Transactions on Spatial Algorithms and Systems, 2021 - dl.acm.org
With the ubiquity of spatial data, vertexes or edges in graphs can possess spatial location
attributes side by side with other non-spatial attributes. For instance, as of June 2018, the …
attributes side by side with other non-spatial attributes. For instance, as of June 2018, the …
Tax-kg: Taxation big data visualization system for knowledge graph
Although large scale knowledge graph (KG) has drawn lots of attentions in academia and
industry, it's still quite difficult for ordinary users to access KG directly because of the …
industry, it's still quite difficult for ordinary users to access KG directly because of the …
从地理信息服务到地理知识服务: 基本问题与发展路径
慎利, 徐柱, **志林, 刘万增, 崔秉良 - Cehui Xuebao, 2021 - search.proquest.com
从地理信息服务升级到地理知识服务, 既是一种必然的发展趋势, 也是信息爆炸困境下的迫切
现实需求. 本文辨析了地理知识服务的内涵, 与地理信息服务的联系及区别, 以及其对形式化知识 …
现实需求. 本文辨析了地理知识服务的内涵, 与地理信息服务的联系及区别, 以及其对形式化知识 …