Preprint Article Version 1 This version is not peer-reviewed

A Graph Database Model for Knowledge Extracted from Place Descriptions

Version 1 : Received: 15 April 2018 / Approved: 16 April 2018 / Online: 16 April 2018 (10:05:25 CEST)

A peer-reviewed article of this Preprint also exists.

Chen, H.; Vasardani, M.; Winter, S.; Tomko, M. A Graph Database Model for Knowledge Extracted from Place Descriptions. ISPRS Int. J. Geo-Inf. 2018, 7, 221. Chen, H.; Vasardani, M.; Winter, S.; Tomko, M. A Graph Database Model for Knowledge Extracted from Place Descriptions. ISPRS Int. J. Geo-Inf. 2018, 7, 221.

Journal reference: ISPRS Int. J. Geo-Inf. 2018, 7, 221
DOI: 10.3390/ijgi7060221

Abstract

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.

Subject Areas

place; spatial property graph; place graph; graph database; place description

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