The preposition at from a spatial language, cognition, and information systems perspective

Vasardani, Maria; Stirling, Lesley; Winter, Stephan

doi:10.3765/sp.10.3

Cited by 9 publications

(12 citation statements)

References 32 publications

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“…Places are rather characterized by prototypes or centers, or are even conceived of as dimensionless entities in information space, for example, "the train is at the station". Vasardani et al (2017) prove that at has a spatial locational relation in locative expressions. They also suggest that geographic information science can model the range of uses of preposition at; for instance, "The airport is at the west side of the city".…”

Section: An Overview Of Cognitive Linguistics As An Approachmentioning

confidence: 79%

Applying Cognitive Linguistics to Enhance the Semantics of English at: An Experimental Study (Baghdad University)

Aajami¹

2018

IJEL

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The current study is quantitative by nature; it cognitively studies the polysemous network of the English preposition at and its various meanings. The results of the pre-test conducted by the researcher have tentatively revealed that Iraqi second language (L2) learners fall in the perplexity because of the multi-usages of this preposition. This incomprehensive view of the preposition at motivates the researcher to analyze this preposition semantically according to insights from cognitive linguistics (CL) that was developed by Evans and Tyler (2003). Accordingly, sixty-eight second year university students participated in this experimental study. The pre-test and post-test data were analyzed using SPSS. Results have shown the following: First, a progress of more than (0.05) has been detected as far as students' understanding of the multiple usages of the preposition at. Second, the results of the questionnaire have shown a prominent positive change in the students' attitude toward CL approach. Third, the main source of difficulty regarding the diversity in the semantics of the preposition at has been displayed. Fourth, CL as an approach has proven its effectiveness in accurately comprehending of the semantics of the English preposition at.

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Section: An Overview Of Cognitive Linguistics As An Approachmentioning

confidence: 79%

Applying Cognitive Linguistics to Enhance the Semantics of English at: An Experimental Study (Baghdad University)

Aajami¹

2018

IJEL

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“…Such contrast sets of places can either be explicitly mentioned in the discourse, implied, or pre-exist as shared knowledge. Using contrast sets, Vasardani et al provided a conceptual model to interpret the region implied by preposition at; the contrast sets make the results context-sensitive [50].…”

Section: Place Models From An Information System Perspectivementioning

confidence: 99%

“…The underlying assumption is that when a descriptor says 'A is near B', it is often implied that A is closer to B than any of the other places used as relata in the discourse, and are of the same granularity as B. Similarly, Vasardani et al provided a first interpretation of the preposition at by contrast sets using their Voronoi diagrams [50]. In this research a similar approach is adopted, as illustrated in Figure 10.…”

Section: Experiments I: Locating Places Without Gazetteered Referencesmentioning

confidence: 99%

A Graph Database Model for Knowledge Extracted from Place Descriptions

Chen

Vasardani

Winter

et al. 2018

IJGI

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Everyday place descriptions provide a rich source of knowledge about places and their relative locations. This research proposes a place graph model for modelling 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 a 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.

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“…Such contrast sets of places can either be explicitly mentioned in the discourse, implied, or pre-exist as shared knowledge. Using contrast sets, Vasardani et al provided a conceptual model to interpret the region implied by preposition at ; the contrast sets make the results context-sensitive [40].…”

Section: Place Models From An Information System Perspectivementioning

confidence: 99%

“…The underlying assumption is that when a descriptor says 'A is near B', it is often implied that A is closer to B than any of the other places used as relata in the discourse, and are of the same granularity as B. Similarly, Vasardani et al provided a first interpretation of the preposition at by contrast sets using their Voronoi diagrams [40]. In this research a similar approach is adopted, as illustrated in Figure 11.…”

Section: Experiments I: Locating Places Without Gazetteered Referencesmentioning

confidence: 99%

A Graph Database Model for Knowledge Extracted from Place Descriptions

Chen¹,

Vasardani²,

Winter³

et al. 2018

Preprint

Self Cite

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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.

show abstract

The preposition at from a spatial language, cognition, and information systems perspective

Cited by 9 publications

References 32 publications

Applying Cognitive Linguistics to Enhance the Semantics of English at: An Experimental Study (Baghdad University)

Applying Cognitive Linguistics to Enhance the Semantics of English at: An Experimental Study (Baghdad University)

A Graph Database Model for Knowledge Extracted from Place Descriptions

A Graph Database Model for Knowledge Extracted from Place Descriptions

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