Cognitively plausible representations for the alignment of sketch and geo-referenced maps

In many geo-spatial applications, freehand sketch maps are considered as an intuitive way to collect user-generated spatial information. The task of automatically mapping information from such hand-drawn sketch maps to geo-referenced maps is known as the alignment task. Researchers have proposed var...
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Autor*in:	Sahib Jan [verfasserIn] Angela Schwering [verfasserIn] Carl Schultz [verfasserIn] Malumbo Chaka Chipofya [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	qualitative constraint networks sketch map qualitative representation qualitative alignment

Übergeordnetes Werk:	In: Journal of Spatial Information Science - University of Maine, 2010, (2017), 14, Seite 31-59
Übergeordnetes Werk:	year:2017 ; number:14 ; pages:31-59

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.5311/JOSIS.2017.14.294

Katalog-ID:	DOAJ066634903

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allfieldsSound	10.5311/JOSIS.2017.14.294 doi (DE-627)DOAJ066634903 (DE-599)DOAJf1a2c00ac1b04cca9a43799d10096973 DE-627 ger DE-627 rakwb eng G1-922 Sahib Jan verfasserin aut Cognitively plausible representations for the alignment of sketch and geo-referenced maps 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In many geo-spatial applications, freehand sketch maps are considered as an intuitive way to collect user-generated spatial information. The task of automatically mapping information from such hand-drawn sketch maps to geo-referenced maps is known as the alignment task. Researchers have proposed various qualitative representations to capture distorted and generalized spatial information in sketch maps, however thus far the effectiveness of these representations has not been evaluated in the context of an alignment task. This paper empirically evaluates a set of cognitively plausible representations for alignment using real sketch maps collected from two different study areas with the corresponding geo-referenced maps. Firstly, the representations are evaluated in a single-aspect alignment approach by demonstrating the alignment of maps for each individual sketch aspect. Secondly, representations are evaluated across multiple sketch aspects using more than one representation in the alignment task. The evaluations demonstrated the suitability of the chosen representation for aligning user-generated content with geo-referenced maps in a real-world scenario. qualitative constraint networks sketch map qualitative representation qualitative alignment Geography (General) Angela Schwering verfasserin aut Carl Schultz verfasserin aut Malumbo Chaka Chipofya verfasserin aut In Journal of Spatial Information Science University of Maine, 2010 (2017), 14, Seite 31-59 (DE-627)668279427 (DE-600)2628143-0 1948660X nnns year:2017 number:14 pages:31-59 https://doi.org/10.5311/JOSIS.2017.14.294 kostenfrei https://doaj.org/article/f1a2c00ac1b04cca9a43799d10096973 kostenfrei http://josis.org/index.php/josis/article/view/294 kostenfrei https://doaj.org/toc/1948-660X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 2017 14 31-59
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authorswithroles_txt_mv	Sahib Jan @@aut@@ Angela Schwering @@aut@@ Carl Schultz @@aut@@ Malumbo Chaka Chipofya @@aut@@
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title	Cognitively plausible representations for the alignment of sketch and geo-referenced maps
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title_auth	Cognitively plausible representations for the alignment of sketch and geo-referenced maps
abstract	In many geo-spatial applications, freehand sketch maps are considered as an intuitive way to collect user-generated spatial information. The task of automatically mapping information from such hand-drawn sketch maps to geo-referenced maps is known as the alignment task. Researchers have proposed various qualitative representations to capture distorted and generalized spatial information in sketch maps, however thus far the effectiveness of these representations has not been evaluated in the context of an alignment task. This paper empirically evaluates a set of cognitively plausible representations for alignment using real sketch maps collected from two different study areas with the corresponding geo-referenced maps. Firstly, the representations are evaluated in a single-aspect alignment approach by demonstrating the alignment of maps for each individual sketch aspect. Secondly, representations are evaluated across multiple sketch aspects using more than one representation in the alignment task. The evaluations demonstrated the suitability of the chosen representation for aligning user-generated content with geo-referenced maps in a real-world scenario.
abstractGer	In many geo-spatial applications, freehand sketch maps are considered as an intuitive way to collect user-generated spatial information. The task of automatically mapping information from such hand-drawn sketch maps to geo-referenced maps is known as the alignment task. Researchers have proposed various qualitative representations to capture distorted and generalized spatial information in sketch maps, however thus far the effectiveness of these representations has not been evaluated in the context of an alignment task. This paper empirically evaluates a set of cognitively plausible representations for alignment using real sketch maps collected from two different study areas with the corresponding geo-referenced maps. Firstly, the representations are evaluated in a single-aspect alignment approach by demonstrating the alignment of maps for each individual sketch aspect. Secondly, representations are evaluated across multiple sketch aspects using more than one representation in the alignment task. The evaluations demonstrated the suitability of the chosen representation for aligning user-generated content with geo-referenced maps in a real-world scenario.
abstract_unstemmed	In many geo-spatial applications, freehand sketch maps are considered as an intuitive way to collect user-generated spatial information. The task of automatically mapping information from such hand-drawn sketch maps to geo-referenced maps is known as the alignment task. Researchers have proposed various qualitative representations to capture distorted and generalized spatial information in sketch maps, however thus far the effectiveness of these representations has not been evaluated in the context of an alignment task. This paper empirically evaluates a set of cognitively plausible representations for alignment using real sketch maps collected from two different study areas with the corresponding geo-referenced maps. Firstly, the representations are evaluated in a single-aspect alignment approach by demonstrating the alignment of maps for each individual sketch aspect. Secondly, representations are evaluated across multiple sketch aspects using more than one representation in the alignment task. The evaluations demonstrated the suitability of the chosen representation for aligning user-generated content with geo-referenced maps in a real-world scenario.
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title_short	Cognitively plausible representations for the alignment of sketch and geo-referenced maps
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score	7.402135

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Cognitively plausible representations for the alignment of sketch and geo-referenced maps

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