five

Code and data for place hierarchies

收藏
DataCite Commons2024-05-07 更新2024-07-13 收录
下载链接:
https://melbourne.figshare.com/articles/dataset/Codes_and_data_for_place_hierarchies/20448231
下载链接
链接失效反馈
官方服务:
资源简介:
The code and data are related to the paper Combining hierarchies for spatial reasoning of hierarchical relations among places in different contexts. <br>Abstract: Spatial reasoning of hierarchical relations is an important research topic in geographic information science. Existing literature focuses mainly on hierarchical relations according to ordered containment of point sets based on the 9-Intersection Model (9IM). However, in natural language descriptions, hierarchical relations expressed by prepositions such as <i>in</i> can have spatial configurations conflicting with those hierarchical relations based on 9IM. This paper proposes an algorithm employing combined hierarchies to infer hierarchical relations among places in different contexts. Two graph databases containing combined hierarchies conforming to administrative reach and geometric enclosure are established with places represented by polygons with misaligned boundaries on prototypical and real data. The 13170 pairs of conflicting hierarchical relations with same start nodes but different end nodes detected in the combined hierarchies on real data validate the proposed algorithm for spatial reasoning of hierarchical relations in different contexts. This research facilitates consistent spatial reasoning of hierarchical relations in different contexts for spatial information retrieval and question answering. <br><br>File descriptions:<br>The instructions.md file specifies the steps to use other files.<br>The createcontainlist_phy_publish.ipynb file is the code to derive hierarchical relations conforming to administrative reach and geometic enclosure.<br>The db.dump file is the back up of the graph database of global administrative units in neo4j desktop.<br>The neo4j.dump file is the back up of the graph database of prototypical data in neo4j desktop.<br>
提供机构:
The University of Melbourne
创建时间:
2024-05-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作