Towards knowledge-based geospatial data integration and visualization: a case study of visualizing bicycling level-of-traffic-stress

Authors: Weiming Huang*, Lund University, Khashayar Kazemzadeh, Lund University, Lars Harrie, Lund University
Topics: Cartography, Cyberinfrastructure, Transportation Geography
Keywords: transdisciplinary research, semantic web, ontology, geovisualization, bicycling level-of-traffic-stress
Session Type: Poster
Day: 4/5/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded


Geospatial data have been pervasive and indispensable for various spatially-informed transdisciplinary research, which leads to the necessity of sharing and outreaching the geospatial data and knowledge to other domains. Semantic heterogeneity often arises as other domains usually hold different conceptual views for the space that is delineated by the geospatial data; as a result, geospatial experts are often asked to assist experts in other domains for data integration and analysis/visualization. Therefore, this is a need to formalize geospatial knowledge to facilitate the data and knowledge to be more readily interpreted, shared and reused. In our study, we develop a means of bridging geospatial and other domains using semantic web technologies, and showcase it in visualizing cycling level-of-traffic-stress (LTS), which entails subtle and complex semantic differences that can hardly resolved merely using ontology alignment. Specifically, we leverage ontologies, semantic rules, semantic constraints and Linked Data for bridging the domains, i.e. representing the domain semantics, the derivation of LTS and the geovisualization knowledge to resolve semantic heterogeneity and enable the machines to analysis and visualize the data with semantic reasoning. This work is in line with the development of open SDIs where increasing transdisciplinary studies are expectedly to be underpinned.

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