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Geospatial Data Integration and Visualisation Using Linked Data

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Geospatial Data Integration and Visualisation Using Linked Data Geospatial data integration and visualisation using Linked Data Weiming Huang Ali Mansourian Lars Harrie GIS Centre, Department of GIS Centre, Department of GIS Centre, Department of Physical Geography and Physical Geography and Physical Geography and Ecosystem Science, Lund Ecosystem Science, Lund Ecosystem Science, Lund University University University Sölvegatan 12, 223 62 Sölvegatan 12, 223 62 Sölvegatan 12, 223 62 Lund, Sweden Lund, Sweden Lund, Sweden [email protected] [email protected] [email protected] Abstract Geospatial data are increasingly available nowadays, and this leads to more analyses and visualisation of geospatial data from several sources. To enable this, we need homogenous data as well as proper integration methods. Geospatial data integration has been a long- standing research topic for decades, and this paper discusses the utilisation of Linked Data technology stack to alleviate the geospatial data integration, particularly in the multi-scale context. Furthermore, this paper also discusses the possibilities of incorporating symbolisation information in Linked Data along with the integrated linked geospatial data for visualisation. Keywords: geospatial data integration; multi-scale; Linked Data; visualisation; symbolisation. 1 Introduction web map), the thematic data are usually simply overlaid on the top of a base map without explicit The rapid development of the Internet, together links and integration. However, the scales of the with the incentives from legislation, commence, thematic data and the base map are generally not and the open data trend, has led to the improvement synchronised because unlike the thematic layer, the of the availability of geospatial data, including both base map is usually a multi-scale map from an the authoritative geospatial data accessible from authoritative mapping agency and has multiple governmental Spatial Data Infrastructures (SDIs) representations (for details, see Huang et al., 2016). and the prevalent Volunteered Geographic In this context, the Semantic Web technologies, Information (VGI). For example, in Europe, the particularly the ones concerning Linked Data, INSPIRE1 directive formulated that in a few years’ provide a promising technical framework to ease time, several authorities that are responsible for the integration and linking between geospatial data. creating and maintaining geospatial data are obliged “Linked Data” is the term for the collection of to set up download services to facilitate the access design principles and technologies centred around a and sharing of geospatial data. The substantial paradigm to publish, retrieve, reuse, and integrate improvement of data availability will enable cross- data on the Web (Kuhn et al. 2014). The adoption data set analysis and visualisation, in which the and application of Linked Data in the geospatial integration of geospatial data from different sources community have developed considerably in recent is indispensable. years. A number of geospatial data sets have been The productions of geospatial data from different released as Linked Data, and some of them have sources are generally isolated, and this causes the made up an indispensable portion in the linking syntactic and semantic heterogeneity that are two open data (LOD) cloud (The Linking Open Data significant obstacles for geospatial data integration. cloud diagram, 2017; Figure 1). On the other hand, Furthermore, the links between multi-source the visualisation and symbolisation of linked geospatial data that are of relevance are often geospatial data has been rarely exploited, and it is lacking. The absence of links between data sets even trickier in a multi-scale context. Hence, this impedes the integration of geospatial data for project mainly concentrates on investigating the visualisation and analysis, and this impediment is integration and visualisation of multi-source especially significant in a multi-scale environment. geospatial data utilising the Linked Data technology For example, in a map mashup (a common form of stack, in particular in a multi-scale context. The AGILE PhD school 2017 following research questions will be addressed Data integration is a long-standing research theme Figure 1. The central part of LOD cloud of November, 2017 within the work: in the geospatial domain where geometric, • How to organise geospatial data in different topological as well as semantic information are scales in Linked Data, the design of unique resource used (see e.g. , Walter and Fritch 1999, Du et al. identifiers and ontologies is important to link the 2012, Yang et al. 2014). With a few exceptions multiple representations of each geographic object; (e.g., Mustière and Devogele. 2008), these studies • How to establish the links between different have concentrated on the integration of data of geospatial Linked Data sets, particularly in a multi- similar levels of detail. scale context; In the abovementioned environment of map • How the links between data sets can be utilised mashup, in which multi-source geospatial data are for the synchronisation of scales between multi- generally simply overlaid together without any source geospatial data sets; links established between each other, the • How the linked geospatial data sets should be integration usually is about multi-scale data sets. visualised and symbolised, namely how the Stern and Sester (2013) studied mashups of natural symbolisation information should be defined and protected areas on top of a base map, where the organised, and on which level (feature level, feature protected areas often have common geometries with collection level, etc.) it should be defined. the base map. To overcome the problem of • How the linked geospatial data sets would inconsistencies in the multi-scale representation, benefit the SDI. they argued that the base map should act as constraints for generalising the thematic data. 2 Related work Toomanian et al. (2013) used Semantic Web technologies to integrate multi-source data in map 2.1 Geospatial data integration using Linked mashups. They defined the semantic relationships Data between feature types in the thematic data and the base map in the map mashups using ontologies. AGILE PhD school 2017 AGILE 2016 – Helsinki, June 14-17, 2016 These semantic relationships were then used to of multi-scale geospatial data sets has been rarely enable real-time adjustment of the thematic features explored, and this is the focus of this project. to the base map. Linked Data technology has been adopted to 2.2 Visualisation of geospatial linked data facilitate geospatial data integration in some other The linked geospatial data are situated at rather studies. For instance, Wiemann and Bernard (2016) central places in the LOD because geospatial and investigated possibilities for the integration of SDI location data often serve as nexus and linkage and Linked Data paradigm in terms of spatial data between different data items and sets (Janowicz, integration. They implemented a prototype system 2012). However, the portrayal and symbolisation of where the spatial relationships were explored by the linked geospatial data have been seldom discussed. OGC Web Processing Service (WPS) and then When it comes to the visualisation of linked explicitly and separately stored using Linked Data, geospatial data, the providers of such data generally including the information of involved features, use external styling service or hard-coded relationship types and conducted relationship symbolisation parameters. The LinkedGeoData measurements. Lutz et al. (2009) addressed a (LGD) project which released OpenStreetMap hybrid ontology-based solution for overcoming the (OSM) data in Linked Data used separate renderer semantic heterogeneity in SDI. They designed a service where the symbolisation rules are settled to shared vocabulary on top of which the application render the LGD data (Stadler et al. 2012). The ontologies were designed, then they used the GeoNames2 has an online portal in which the ontology reasoner (DL query) to identify the entities can be shown on the top of either a digital subsumption relationships between concepts, thus base map or satellite images; the entities are simply the corresponding concepts in different shown as labels with numerical signs or bounding classification systems were recognised; they also boxes with uniform symbology. In these cases, the used semantic annotations to label the data services portrayal information is not explicit and can be to enable the data requestor to use a tailored hardly reused by the users or other organisations language to retrieve data. The tailored language was which are interested in the geospatial data in RDF then translated into DL query and subsequently the and the visualisation of the data. WFS requests were invoked. There have been some studies using ontologies to In the framework of Linked Data technology, organise and semantically annotate the symbology some techniques have been extended in order to information in Linked Data. For example, the OGC improve the handling of linked geospatial data. For (Open Geospatial Consortium) explored semantic example, SPARQL, as the query protocol for RDF, mediation of portrayal information of geospatial has a standardised geospatial extension – data using ontology in their testbed 11 and 12 GeoSPARQL (Perry and Herring, 2011). (Fellah, 2015; 2017). They designed symbology GeoSPARQL also provides an ontology as a ontologies during the testbeds, and the ontologies
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