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Authors: Christos T. Rodosthenous and Loizos Michael

Affiliation: Open University of Cyprus, Cyprus

ISBN: 978-989-758-275-2

Keyword(s): Information Retrieval, Geographic Focus Identification, Knowledge Bases, Natural Language Processing, Geographic Information Systems.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Hybrid Intelligent Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Soft Computing ; Symbolic Systems

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 several formats:
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 1: ICAART, ISBN 978-989-758-275-2, pages 111-121. DOI: 10.5220/0006588501110121

@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 1: ICAART,},
year={2018},
pages={111-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006588501110121},
isbn={978-989-758-275-2},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: 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

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