Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction Method for Observer-Centered Vague Location Descriptions

Many documents contain vague location descriptions of observed objects. To represent location information in geographic information systems (GISs), these vague location descriptions need to be transformed into representable fuzzy spatial regions, and knowledge about the location descriptions of obse...

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Main Authors: Jun Xu, Xin Pan, Jian Zhao, Haohai Fu
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/10/12/833
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author Jun Xu
Xin Pan
Jian Zhao
Haohai Fu
author_facet Jun Xu
Xin Pan
Jian Zhao
Haohai Fu
author_sort Jun Xu
collection DOAJ
description Many documents contain vague location descriptions of observed objects. To represent location information in geographic information systems (GISs), these vague location descriptions need to be transformed into representable fuzzy spatial regions, and knowledge about the location descriptions of observer-to-object spatial relations must serve as the basis for this transformation process. However, a location description from the observer perspective is not a specific fuzzy function, but comes from a subjective viewpoint, which will be different for different individuals, making the corresponding knowledge difficult to represent or obtain. To extract spatial knowledge from such subjective descriptions, this research proposes a virtual reality (VR)-based fuzzy spatial relation knowledge extraction method for observer-centered vague location descriptions (VR-FSRKE). In VR-FSRKE, a VR scene is constructed, and users can interactively determine the fuzzy region corresponding to a location description under the simulated VR observer perspective. Then, a spatial region clustering mechanism is established to summarize the fuzzy regions identified by various individuals into fuzzy spatial relation knowledge. Experiments show that, on the basis of interactive scenes provided through VR, VR-FSRKE can efficiently extract spatial relation knowledge from many individuals and is not restricted by requirements of a certain place or time; furthermore, the knowledge obtained by VR-FSRKE is close to the knowledge obtained from a real scene.
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spelling doaj.art-b10751fae9694aa197f2841aa9791d3e2023-11-23T08:42:14ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-12-01101283310.3390/ijgi10120833Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction Method for Observer-Centered Vague Location DescriptionsJun Xu0Xin Pan1Jian Zhao2Haohai Fu3Jilin Provincial Key Laboratory of Changbai Historical Culture and VR Reconstruction Technology, Changchun Institute of Technology, Changchun 130012, ChinaJilin Provincial Key Laboratory of Changbai Historical Culture and VR Reconstruction Technology, Changchun Institute of Technology, Changchun 130012, ChinaJilin Provincial Key Laboratory of Changbai Historical Culture and VR Reconstruction Technology, Changchun Institute of Technology, Changchun 130012, ChinaJilin Provincial Key Laboratory of Changbai Historical Culture and VR Reconstruction Technology, Changchun Institute of Technology, Changchun 130012, ChinaMany documents contain vague location descriptions of observed objects. To represent location information in geographic information systems (GISs), these vague location descriptions need to be transformed into representable fuzzy spatial regions, and knowledge about the location descriptions of observer-to-object spatial relations must serve as the basis for this transformation process. However, a location description from the observer perspective is not a specific fuzzy function, but comes from a subjective viewpoint, which will be different for different individuals, making the corresponding knowledge difficult to represent or obtain. To extract spatial knowledge from such subjective descriptions, this research proposes a virtual reality (VR)-based fuzzy spatial relation knowledge extraction method for observer-centered vague location descriptions (VR-FSRKE). In VR-FSRKE, a VR scene is constructed, and users can interactively determine the fuzzy region corresponding to a location description under the simulated VR observer perspective. Then, a spatial region clustering mechanism is established to summarize the fuzzy regions identified by various individuals into fuzzy spatial relation knowledge. Experiments show that, on the basis of interactive scenes provided through VR, VR-FSRKE can efficiently extract spatial relation knowledge from many individuals and is not restricted by requirements of a certain place or time; furthermore, the knowledge obtained by VR-FSRKE is close to the knowledge obtained from a real scene.https://www.mdpi.com/2220-9964/10/12/833VRlocation descriptionspatial knowledge extractionfuzzyvagueness
spellingShingle Jun Xu
Xin Pan
Jian Zhao
Haohai Fu
Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction Method for Observer-Centered Vague Location Descriptions
ISPRS International Journal of Geo-Information
VR
location description
spatial knowledge extraction
fuzzy
vagueness
title Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction Method for Observer-Centered Vague Location Descriptions
title_full Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction Method for Observer-Centered Vague Location Descriptions
title_fullStr Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction Method for Observer-Centered Vague Location Descriptions
title_full_unstemmed Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction Method for Observer-Centered Vague Location Descriptions
title_short Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction Method for Observer-Centered Vague Location Descriptions
title_sort virtual reality based fuzzy spatial relation knowledge extraction method for observer centered vague location descriptions
topic VR
location description
spatial knowledge extraction
fuzzy
vagueness
url https://www.mdpi.com/2220-9964/10/12/833
work_keys_str_mv AT junxu virtualrealitybasedfuzzyspatialrelationknowledgeextractionmethodforobservercenteredvaguelocationdescriptions
AT xinpan virtualrealitybasedfuzzyspatialrelationknowledgeextractionmethodforobservercenteredvaguelocationdescriptions
AT jianzhao virtualrealitybasedfuzzyspatialrelationknowledgeextractionmethodforobservercenteredvaguelocationdescriptions
AT haohaifu virtualrealitybasedfuzzyspatialrelationknowledgeextractionmethodforobservercenteredvaguelocationdescriptions