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article

A linguistic ontology of space for natural language processing

Authors:

John A. Bateman,

Thora TenbrinkAuthors Info & Claims

Artificial Intelligence, Volume 174, Issue 14

Pages 1027 - 1071

https://doi.org/10.1016/j.artint.2010.05.008

Published: 01 September 2010 Publication History

Abstract

We present a detailed semantics for linguistic spatial expressions supportive of computational processing that draws substantially on the principles and tools of ontological engineering and formal ontology. We cover language concerned with space, actions in space and spatial relationships and develop an ontological organization that relates such expressions to general classes of fixed semantic import. The result is given as an extension of a linguistic ontology, the Generalized Upper Model, an organization which has been used for over a decade in natural language processing applications. We describe the general nature and features of this ontology and show how we have extended it for working particularly with space. Treaitng the semantics of natural language expressions concerning space in this way offers a substantial simplification of the general problem of relating natural spatial language to its contextualized interpretation. Example specifications based on natural language examples are presented, as well as an evaluation of the ontology's coverage, consistency, predictive power, and applicability.

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cover image Artificial Intelligence

Artificial Intelligence Volume 174, Issue 14

September, 2010

88 pages

ISSN:0004-3702

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Copyright © Elsevier B.V. © 2010.

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Published: 01 September 2010

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Borgo SGalton AKutz OBorgo SGalton AKutz O(2022)Foundational ontologies in actionApplied Ontology10.3233/AO-22026517:1(1-16)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/AO-220265
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Karch TTeodorescu LHofmann KMoulin-Frier COudeyer PRanzato MBeygelzimer ADauphin YLiang PVaughan J(2021)Grounding spatio-temporal language with transformersProceedings of the 35th International Conference on Neural Information Processing Systems10.5555/3540261.3540662(5236-5249)Online publication date: 6-Dec-2021
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