Preprint Article Version 1 This version is not peer-reviewed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)

How to cite: Chen, H.; Vasardani, M.; Winter, S.; Tomko, M. A Graph Database Model for Knowledge Extracted from Place Descriptions. Preprints 2018, 2018040202 (doi: 10.20944/preprints201804.0202.v1). Chen, H.; Vasardani, M.; Winter, S.; Tomko, M. A Graph Database Model for Knowledge Extracted from Place Descriptions. Preprints 2018, 2018040202 (doi: 10.20944/preprints201804.0202.v1).

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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