Abstract | ||
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Route planning providers manually integrate different geo-spatial datasets before offering a Web service to developers, thus creating a closed world view. In contrast, combining open datasets at runtime can provide more information for user-specific route planning needs. For example, an extra dataset of bike sharing availabilities may provide more relevant information to the occasional cyclist. A strategy for automating the adoption of open geo-spatial datasets is needed to allow an ecosystem of route planners able to answer more specific and complex queries. This raises new challenges such as (i) how open geo-spatial datasets should be published on the Web to raise interoperability, and (ii) how route planners can discover and integrate relevant data for a certain query on the fly. We republished OpenStreetMap's road network as "Routable Tiles" to facilitate its integration into open route planners. To achieve this, we use a Linked Data strategy and follow an approach similar to vector tiles. In a demo, we show how client-side code can automatically discover tiles and perform a shortest path algorithm. We provide four contributions: (i) we launched an open geo-spatial dataset that is available for everyone to reuse at no cost, (ii) we published a Linked Data version of the OpenStreetMap ontology, (iii) we introduced a hypermedia specification for vector tiles that extends the Hydra ontology, and (iv) we released the mapping scripts, demo and routing scripts as open source software. |
Year | DOI | Venue |
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2019 | 10.1007/978-3-030-32327-1_3 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Smart cities,Open data,Linked open data,Route planning,Journey planning,Mobility as a service | Ontology,Open data,World Wide Web,Information retrieval,Hypermedia,Computer science,Reuse,Interoperability,Linked data,Web service,Scripting language | Conference |
Volume | ISSN | Citations |
11762 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pieter Colpaert | 1 | 232 | 29.18 |
Ben Abelshausen | 2 | 0 | 0.34 |
Julián Andrés Rojas Meléndez | 3 | 1 | 2.05 |
Harm Delva | 4 | 0 | 3.38 |
Ruben Verborgh | 5 | 630 | 105.49 |