A Graph Database Model for Knowledge Extracted from Place Descriptions
Hao Chen, Maria Vasardani, Stephan Winter, Martin Tomko
ISPRS International Journal of Geo-Information | MDPI AG | Published : 2018
Everyday place descriptions provide a rich source of knowledge about places and their relative locations. This research proposes a place graph model for modeling this spatial, non-spatial, and contextual knowledge from place descriptions. The model extends a prior place graph, and overcomes a number of limitations. The model is implemented using the Neo4j graph database, and a management system has also been developed that allows operations including querying, mapping, and visualizing the stored knowledge in an extended place graph. Then three experimental tasks, namely georeferencing, reasoning, and querying, are selected to demonstrate the superiority of the extended model.
Related Projects (1)
Awarded by Australian Research Council
The supports by the Australian Research Council grant DP170100109, Melbourne International Fee Remission Scholarship (MIFRS), and Melbourne International Research Scholarship (MIRS) are acknowledged.