Using linked open geo boundaries for adaptive delineation of functional urban areas
| Autor: | Peter van den Besselaar, Klaas Andries de Graaf, Ali Khalili |
|---|---|
| Přispěvatelé: | Knowledge Representation and Reasoning, Network Institute, Artificial intelligence, Organization Sciences, Organization & Processes of Organizing in Society (OPOS) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
0211 other engineering and technologies 021107 urban & regional planning 02 engineering and technology Linked data Metropolitan area Data science SDG 11 - Sustainable Cities and Communities Weighting Urban planning 020204 information systems Schema (psychology) 11. Sustainability 0202 electrical engineering electronic engineering information engineering European commission Research questions Urban system |
| Zdroj: | The Semantic Web: ESWC 2018 Satellite Events-ESWC 2018, Revised Selected Papers, 327-341 STARTPAGE=327;ENDPAGE=341;TITLE=The Semantic Web Khalili, A, van den Besselaar, P & de Graaf, K A 2018, Using linked open geo boundaries for adaptive delineation of functional urban areas . in The Semantic Web: ESWC 2018 Satellite Events : Revised Selected Papers . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11155 LNCS, Springer/Verlag, pp. 327-341, 15th Extended Semantic Web Conference, ESWC 2018, Heraklion, Greece, 3/06/18 . https://doi.org/10.1007/978-3-319-98192-5_51 Lecture Notes in Computer Science ISBN: 9783319981918 ESWC (Satellite Events) Lecture Notes in Computer Science The Semantic Web: ESWC 2018 Satellite Events 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), 9-21 STARTPAGE=9;ENDPAGE=21;TITLE=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) Khalili, A, Van Den Besselaar, P & De Graaf, K A 2018, Using linked open geo boundaries for adaptive delineation of functional urban areas . in 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) . CEUR Workshop Proceedings, vol. 2110, CEUR-WS, pp. 9-21, 3rd International Workshop on Geospatial Linked Data and the 2nd Workshop on Querying the Web of Data, GeoLD-QuWeDa 2018, Heraklion, Greece, 3/06/18 . < http://ceur-ws.org/Vol-2110/paper1.pdf > |
| ISSN: | 0302-9743 |
| DOI: | 10.1007/978-3-319-98192-5_51 |
| Popis: | 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 different 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. |
| Databáze: | OpenAIRE |
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