Abstract
The concentration of people, companies, research organizations and other activities in urban areas is a key process in the development of economies and societies. In order to investigate how these urban systems function, the OECD (Organization for Economic Co-operation and Development) in collaboration with EC (European Commission) and Eurostat have introduced the concept of Functional Urban Areas (FUAs). FUAs consider a preliminary set of socio-economic and environmental factors and provide a basis for an agreed definition for measuring development of metropolitan areas. However, because FUAs are predefined they do not meet the need for designing policies and research questions involving di erent types of urban areas that are defined by weighting some factors more than others or by using additional factors. Therefore, providing an adaptive approach for dynamic and multi-faceted delineation of FUAs, rather than merely relying on a rigid schema with a fixed list of FUAs per country, allows to more flexibly reflect the socio-economic geography of where people live and work. This adaptive definition of FUAs demands integration of data from multiple up-to-date linked data sources. In this paper, we describe an approach and implementation for a Linked Open Geo-Data space, which combines openly available spatial and non-spatial resources on the Web to classify urban areas with the aim to more flexibly monitor and research urban development.
| Original language | English |
|---|---|
| Title of host publication | GeoLD-QuWeDa 2018 ESWC 2018 Workshops: GeoLD 2018 and QuWeDa 2018 |
| Subtitle of host publication | Proceedings of the 3rd International Workshop on Geospatial Linked Data and the 2nd Workshop on Querying the Web of Data co-located with 15th Extended Semantic Web Conference (ESWC 2018) Heraklion, Greece, June 3, 2018 |
| Editors | Matthias Wauer, Mohamed Sherif, Muhammad Saleem, Olaf Hartig, Ricardo Usbeck, Ruben Verborgh, Axel-Cyrille Ngonga Ngomo |
| Publisher | CEUR-WS |
| Pages | 9-21 |
| Number of pages | 13 |
| Publication status | Published - 2018 |
| Event | 3rd International Workshop on Geospatial Linked Data and the 2nd Workshop on Querying the Web of Data, GeoLD-QuWeDa 2018 - Heraklion, Greece Duration: 3 Jun 2018 → 4 Jun 2018 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR Workshop Proceedings |
| Volume | 2110 |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | 3rd International Workshop on Geospatial Linked Data and the 2nd Workshop on Querying the Web of Data, GeoLD-QuWeDa 2018 |
|---|---|
| Country/Territory | Greece |
| City | Heraklion |
| Period | 3/06/18 → 4/06/18 |
Bibliographical note
3rd International Workshop on Geospatial Linked Data (GeoLD 2018)2nd Workshop on Querying the Web of Data (QuWeDa 2018)
Funding
In this use case we were interested in the geographical properties of these collaboration networks. In order to investigate this we needed data about the projects, and statistical data about the characteristics of the geographical units. These data are openly available on The Dutch data portal33. In this case, we employed the following open datasets: – RVO dataset34 provides a list of R&D projects that have received subsidies and financial support from the Netherlands Enterprise Agency35. Projects information includes companies and research institues which are collaborating on the project together with the geographical coordinates of the projects.
| Funders | Funder number |
|---|---|
| Netherlands Enterprise Agency35 |
