GeoMantis: Inferring the Geographic Focus of Text using Knowledge Bases

Christos T. Rodosthenous, Loizos Michael

Abstract

We consider the problem of identifying the geographic focus of a document. Unlike some previous work on this problem, we do not expect the document to explicitly mention the target region, making our problem one of inference or prediction, rather than one of identification. Further, we seek to tackle the problem without appealing to specialized geographic information resources like gazetteers or atlases, but employ general-purpose knowledge bases and ontologies like ConceptNet and YAGO. We propose certain natural strategies towards addressing the problem, and show that the GeoMantis system that implements these strategies outperforms an existing state-of-the-art system, when compared on documents whose target region (country, in particular) is not explicitly mentioned or is obscured. Our results give evidence that using general-purpose knowledge bases and ontologies can, in certain cases, outperform even specialized tools.

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Paper Citation


in Harvard Style

Rodosthenous C. and Michael L. (2018). GeoMantis: Inferring the Geographic Focus of Text using Knowledge Bases.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-275-2, pages 111-121. DOI: 10.5220/0006588501110121


in Bibtex Style

@conference{icaart18,
author={Christos T. Rodosthenous and Loizos Michael},
title={GeoMantis: Inferring the Geographic Focus of Text using Knowledge Bases},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2018},
pages={111-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006588501110121},
isbn={978-989-758-275-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - GeoMantis: Inferring the Geographic Focus of Text using Knowledge Bases
SN - 978-989-758-275-2
AU - Rodosthenous C.
AU - Michael L.
PY - 2018
SP - 111
EP - 121
DO - 10.5220/0006588501110121