Title
Synchronising Geometric Representations For Map Mashups Using Relative Positioning And Linked Data
Abstract
Map mashups, as a common way of presenting geospatial information on the Web, are generally created by spatially overlaying thematic information on top of various base maps. This simple overlay approach often raises geometric deficiencies due to geometric uncertainties in the data. This issue is particularly apparent in a multi-scale context because the thematic data seldom have synchronised level of detail with the base map. In this study, we propose, develop, implement and evaluate a relative positioning approach based on shared geometries and relative coordinates to synchronise geometric representations for map mashups through several scales. To realise the relative positioning between datasets, we adopt a Linked Data-based technical framework in which the data are organised according to ontologies that are designed based on the GeoSPARQL vocabulary. A prototype system is developed to demonstrate the feasibility and usability of the relative positioning approach. The results show that the approach synchronises and integrates the geometries of thematic data and the base map effectively, and the thematic data are automatically tailored for multi-scale visualisation. The proposed framework can be used as a new way of modelling geospatial data on the Web, with merits in terms of both data visualisation and querying.
Year
DOI
Venue
2018
10.1080/13658816.2018.1441416
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
Field
DocType
Map mashups, geometry synchronisation, multiple representation, relative positioning, Linked Data
Ontology (information science),Geospatial analysis,Mashup,Data mining,Information retrieval,GeoSPARQL,Computer science,Usability,Linked data,Thematic map,Vocabulary
Journal
Volume
Issue
ISSN
32
6
1365-8816
Citations 
PageRank 
References 
1
0.36
14
Authors
5
Name
Order
Citations
PageRank
Weiming Huang131.76
Ali Mansourian215518.57
Ehsan Abdolmajidi361.52
Haiqi Xu410.36
Lars Harrie56813.37