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A graph database model for knowledge extracted from place descriptions

journal contribution
posted on 2024-11-02, 07:02 authored by Hao Chen, Maria Vasardani, Stephan Winter, Martin Tomko
Everyday place descriptions provide a rich source of knowledge about places and their relative locations. This research proposes a place graph model for modelling 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 a 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.

Funding

Making human place knowledge digestible by computers

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/ijgi7060221
  2. 2.
    ISSN - Is published in 22209964

Journal

ISPRS International Journal of Geo-Information

Volume

7

Number

221

Issue

6

Start page

1

End page

30

Total pages

30

Publisher

M D P I AG

Place published

Switzerland

Language

English

Copyright

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Former Identifier

2006094899

Esploro creation date

2020-06-22

Fedora creation date

2019-12-02

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