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Development of a digitalization tool for linking thematic data to a background map

Xu, Haiqi LU (2017) In Lund University GEM thesis series NGEM01 20171
Dept of Physical Geography and Ecosystem Science
Abstract
Cartographic mashups present geographic data from various sources. A typical example is adding thematic data on top of a multi-scales background map. Currently, thematic data and multi-scales background data are not linked together in cartographic mashups which may have potential problems such as inconsistency of scale ranges. However, in some cases, thematic data and background data have some identical geometries. By creating linkage via these common parts, thematic data can be linked to background map.
The Sematic Web is a Web 3.0 technology through standards by the World Wide Web Consortium (W3C). It provides techniques that enable people to create and link data in standard data formats by semantically describing interrelations of... (More)
Cartographic mashups present geographic data from various sources. A typical example is adding thematic data on top of a multi-scales background map. Currently, thematic data and multi-scales background data are not linked together in cartographic mashups which may have potential problems such as inconsistency of scale ranges. However, in some cases, thematic data and background data have some identical geometries. By creating linkage via these common parts, thematic data can be linked to background map.
The Sematic Web is a Web 3.0 technology through standards by the World Wide Web Consortium (W3C). It provides techniques that enable people to create and link data in standard data formats by semantically describing interrelations of datasets. The linked data can be shared and reused across application, enterprise, and community boundaries.
This study develops a digitalization tool to create and link thematic data to background data in a cartographic mashup. The tool provides two ways to create geometries of thematic data: (1) using common geometries from background map and (2) generating new geometries. Then, thematic data are linked to background data by applying the Semantic Web technologies in the tool. After implementation of the digitalization tool, it is used to create and link thematic data to background map in a use case. Finally, the tool is evaluated against some predefined requirement specifications. It turns out that the digitalization tool manages to create and link thematic data with a background map.
With the digitalization tool developed in this study, thematic data are linked to background map which contributes to synchronize scale ranges between two datasets. It also benefits the real-time data integration of multi-scale data in cartographic mashups. (Less)
Popular Abstract
A cartographic mashup presents geographic data from multiple sources, an example is adding thematic data (e.g. natural hazard data, city crime data, etc.) on top of a background map (e.g. topographic map, Google map, etc.) In the current cartographic mashups, thematic data do not link with background map. Sometimes, there might be displacements between two datasets. Moreover, thematic data only have one or few scales while background maps always have more. As a result, it could cause inconsistencies when adding thematic data above a background map in cartographic mashups. However, in some cases, thematic data and background data have some identical geometries. By creating linkage via these common parts, thematic data can be linked to... (More)
A cartographic mashup presents geographic data from multiple sources, an example is adding thematic data (e.g. natural hazard data, city crime data, etc.) on top of a background map (e.g. topographic map, Google map, etc.) In the current cartographic mashups, thematic data do not link with background map. Sometimes, there might be displacements between two datasets. Moreover, thematic data only have one or few scales while background maps always have more. As a result, it could cause inconsistencies when adding thematic data above a background map in cartographic mashups. However, in some cases, thematic data and background data have some identical geometries. By creating linkage via these common parts, thematic data can be linked to background map. And thus, the displacement problems and scales ranges between two datasets can be solved.
The Semantic Web provides techniques that enable people to create and link data in standard data formats by explicitly describing interrelations of datasets. This study develops a digitalization tool to create and link thematic data to a background map. The tool provides two ways to create geometries of thematic data: (1) using common geometries from a background map and (2) generating new geometries. Then, thematic data are linked to background data by applying the Semantic Web technologies in the tool. After implementation of the digitalization tool, it is used to create and link thematic data to background map in a use case. Finally, the tool is evaluated against some predefined requirement specifications. It turns out that the digitalization tool manages to create and link thematic data with a background map. (Less)
Please use this url to cite or link to this publication:
author
Xu, Haiqi LU
supervisor
organization
course
NGEM01 20171
year
type
H2 - Master's Degree (Two Years)
subject
keywords
GeoSPARQL, RDF, cartographic mashup, ontology, ArcGIS Python add-in, GEM
publication/series
Lund University GEM thesis series
report number
25
language
English
id
8919462
date added to LUP
2017-06-28 11:47:48
date last changed
2017-06-28 11:47:48
@misc{8919462,
  abstract     = {Cartographic mashups present geographic data from various sources. A typical example is adding thematic data on top of a multi-scales background map. Currently, thematic data and multi-scales background data are not linked together in cartographic mashups which may have potential problems such as inconsistency of scale ranges. However, in some cases, thematic data and background data have some identical geometries. By creating linkage via these common parts, thematic data can be linked to background map.
The Sematic Web is a Web 3.0 technology through standards by the World Wide Web Consortium (W3C). It provides techniques that enable people to create and link data in standard data formats by semantically describing interrelations of datasets. The linked data can be shared and reused across application, enterprise, and community boundaries.
This study develops a digitalization tool to create and link thematic data to background data in a cartographic mashup. The tool provides two ways to create geometries of thematic data: (1) using common geometries from background map and (2) generating new geometries. Then, thematic data are linked to background data by applying the Semantic Web technologies in the tool. After implementation of the digitalization tool, it is used to create and link thematic data to background map in a use case. Finally, the tool is evaluated against some predefined requirement specifications. It turns out that the digitalization tool manages to create and link thematic data with a background map.
With the digitalization tool developed in this study, thematic data are linked to background map which contributes to synchronize scale ranges between two datasets. It also benefits the real-time data integration of multi-scale data in cartographic mashups.},
  author       = {Xu, Haiqi},
  keyword      = {GeoSPARQL,RDF,cartographic mashup,ontology,ArcGIS Python add-in,GEM},
  language     = {eng},
  note         = {Student Paper},
  series       = {Lund University GEM thesis series},
  title        = {Development of a digitalization tool for linking thematic data to a background map},
  year         = {2017},
}