CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY

Direction relations, as an important spatial relationship, is simply expressed as object prosperity in traditional geo-ontology. The lacking of explicit specifications and reasoning rules of direction relations in geo-ontology result in the difficult or inflexible of spatial reasoning. Also, digital...

Full description

Bibliographic Details
Main Authors: X. Zhu, D. Chen, C. Zhou, M. Li, W. Xiao
Format: Article
Language:English
Published: Copernicus Publications 2012-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B2/179/2012/isprsarchives-XXXIX-B2-179-2012.pdf
_version_ 1828423107295051776
author X. Zhu
D. Chen
C. Zhou
M. Li
W. Xiao
author_facet X. Zhu
D. Chen
C. Zhou
M. Li
W. Xiao
author_sort X. Zhu
collection DOAJ
description Direction relations, as an important spatial relationship, is simply expressed as object prosperity in traditional geo-ontology. The lacking of explicit specifications and reasoning rules of direction relations in geo-ontology result in the difficult or inflexible of spatial reasoning. Also, digital gazetteers provide information on named features, linking the feature's name with its location and its type. Although the location information is incomplete and not exact, the implicit spatial information, for example spatial relationships and spatial scale, can be extract using the appropriate models based on geo-ontology. In this paper, we proposed a novel conceptual framework of direction relations in order to formalize the semantics and implicit information of direction relations, and present an extraction algorithm of implicit information based on previous researches, which will produce a complete query instance of direction relations. At last, the most suitable direction physical model is recommended to calculation module according to relevant rules. And the experimental results show that this direction query model not only extracted the implicit information effectively, but also made a reasonable interpretation for the user's intention.
first_indexed 2024-12-10T15:57:28Z
format Article
id doaj.art-c4cad8bbdb0d42b69d9a5781c191efe5
institution Directory Open Access Journal
issn 1682-1750
2194-9034
language English
last_indexed 2024-12-10T15:57:28Z
publishDate 2012-08-01
publisher Copernicus Publications
record_format Article
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj.art-c4cad8bbdb0d42b69d9a5781c191efe52022-12-22T01:42:36ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-08-01XXXIX-B217918410.5194/isprsarchives-XXXIX-B2-179-2012CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGYX. Zhu0D. Chen1C. Zhou2M. Li3W. Xiao4State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, P.R.ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, P.R.ChinaNavigation College, Wuhan University of Technology, 122 Luoshi Road, Wuhan 430063, P.R.ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, P.R.ChinaC4ISR Technology National Defense Science and Technology Key Lab, National University of Defense Technology, Changsha 410073, P.R.ChinaDirection relations, as an important spatial relationship, is simply expressed as object prosperity in traditional geo-ontology. The lacking of explicit specifications and reasoning rules of direction relations in geo-ontology result in the difficult or inflexible of spatial reasoning. Also, digital gazetteers provide information on named features, linking the feature's name with its location and its type. Although the location information is incomplete and not exact, the implicit spatial information, for example spatial relationships and spatial scale, can be extract using the appropriate models based on geo-ontology. In this paper, we proposed a novel conceptual framework of direction relations in order to formalize the semantics and implicit information of direction relations, and present an extraction algorithm of implicit information based on previous researches, which will produce a complete query instance of direction relations. At last, the most suitable direction physical model is recommended to calculation module according to relevant rules. And the experimental results show that this direction query model not only extracted the implicit information effectively, but also made a reasonable interpretation for the user's intention.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B2/179/2012/isprsarchives-XXXIX-B2-179-2012.pdf
spellingShingle X. Zhu
D. Chen
C. Zhou
M. Li
W. Xiao
CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY
title_full CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY
title_fullStr CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY
title_full_unstemmed CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY
title_short CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY
title_sort cardinal direction relations query modeling based on geo ontology
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B2/179/2012/isprsarchives-XXXIX-B2-179-2012.pdf
work_keys_str_mv AT xzhu cardinaldirectionrelationsquerymodelingbasedongeoontology
AT dchen cardinaldirectionrelationsquerymodelingbasedongeoontology
AT czhou cardinaldirectionrelationsquerymodelingbasedongeoontology
AT mli cardinaldirectionrelationsquerymodelingbasedongeoontology
AT wxiao cardinaldirectionrelationsquerymodelingbasedongeoontology