A linguistic ontology of space for natural language processing

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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A linguistic ontology of space for natural language processing. / Bateman, J.A.; Hois, J.; Ross, R. et al.
Yn: Artificial Intelligence, Cyfrol 174, Rhif 14, 01.09.2010, t. 1027-1071.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

HarvardHarvard

Bateman, JA, Hois, J, Ross, R & Tenbrink, T 2010, 'A linguistic ontology of space for natural language processing', Artificial Intelligence, cyfrol. 174, rhif 14, tt. 1027-1071. https://doi.org/10.1016/j.artint.2010.05.008

APA

Bateman, J. A., Hois, J., Ross, R., & Tenbrink, T. (2010). A linguistic ontology of space for natural language processing. Artificial Intelligence, 174(14), 1027-1071. https://doi.org/10.1016/j.artint.2010.05.008

CBE

Bateman JA, Hois J, Ross R, Tenbrink T. 2010. A linguistic ontology of space for natural language processing. Artificial Intelligence. 174(14):1027-1071. https://doi.org/10.1016/j.artint.2010.05.008

MLA

Bateman, J.A. et al. "A linguistic ontology of space for natural language processing". Artificial Intelligence. 2010, 174(14). 1027-1071. https://doi.org/10.1016/j.artint.2010.05.008

VancouverVancouver

Bateman JA, Hois J, Ross R, Tenbrink T. A linguistic ontology of space for natural language processing. Artificial Intelligence. 2010 Medi 1;174(14):1027-1071. doi: 10.1016/j.artint.2010.05.008

Author

Bateman, J.A. ; Hois, J. ; Ross, R. et al. / A linguistic ontology of space for natural language processing. Yn: Artificial Intelligence. 2010 ; Cyfrol 174, Rhif 14. tt. 1027-1071.

RIS

TY - JOUR

T1 - A linguistic ontology of space for natural language processing

AU - Bateman, J.A.

AU - Hois, J.

AU - Ross, R.

AU - Tenbrink, T.

PY - 2010/9/1

Y1 - 2010/9/1

N2 - 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.

AB - 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.

U2 - 10.1016/j.artint.2010.05.008

DO - 10.1016/j.artint.2010.05.008

M3 - Article

VL - 174

SP - 1027

EP - 1071

JO - Artificial Intelligence

JF - Artificial Intelligence

SN - 0004-3702

IS - 14

ER -