Knowledge on-demand: a function of the future spatial knowledge infrastructure
This paper conceptualises a future Spatial Knowledge Infrastructure (SKI), aparadigm shift from supplier-driven data and spatial analytics, to where end usersquery data at will to obtain new insights. The SKI addresses problems from theusers’ viewpoint, seeking real-time answers for informed decisio...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
TAYLOR & FRANCIS LTD
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/78527 |
| _version_ | 1848763970989588480 |
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| author | Arnold, L.M. McMeekin, David Ivanova, Ivana Armstrong, K. |
| author_facet | Arnold, L.M. McMeekin, David Ivanova, Ivana Armstrong, K. |
| author_sort | Arnold, L.M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper conceptualises a future Spatial Knowledge Infrastructure (SKI), aparadigm shift from supplier-driven data and spatial analytics, to where end usersquery data at will to obtain new insights. The SKI addresses problems from theusers’ viewpoint, seeking real-time answers for informed decision making, ratherthan from a data producer’s perspective. The driving motivation, to satisfy society’sgrowing expectation for knowledge on-demand, targeting spatial infrastructuredesign from a knowledge-out rather than a data-in perspective. This paper exploresthe SKI framework and how Semantic Web technologies can be used to deliverservices in step with the knowledge on-demand revolution. |
| first_indexed | 2025-11-14T11:11:56Z |
| format | Journal Article |
| id | curtin-20.500.11937-78527 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:11:56Z |
| publishDate | 2019 |
| publisher | TAYLOR & FRANCIS LTD |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-785272020-06-15T05:15:15Z Knowledge on-demand: a function of the future spatial knowledge infrastructure Arnold, L.M. McMeekin, David Ivanova, Ivana Armstrong, K. Science & Technology Physical Sciences Technology Geography, Physical Remote Sensing Physical Geography Knowledge on-demand semantic web ontology linked open data digital supply chain spatial data spatial knowledge This paper conceptualises a future Spatial Knowledge Infrastructure (SKI), aparadigm shift from supplier-driven data and spatial analytics, to where end usersquery data at will to obtain new insights. The SKI addresses problems from theusers’ viewpoint, seeking real-time answers for informed decision making, ratherthan from a data producer’s perspective. The driving motivation, to satisfy society’sgrowing expectation for knowledge on-demand, targeting spatial infrastructuredesign from a knowledge-out rather than a data-in perspective. This paper exploresthe SKI framework and how Semantic Web technologies can be used to deliverservices in step with the knowledge on-demand revolution. 2019 Journal Article http://hdl.handle.net/20.500.11937/78527 10.1080/14498596.2019.1654942 English TAYLOR & FRANCIS LTD restricted |
| spellingShingle | Science & Technology Physical Sciences Technology Geography, Physical Remote Sensing Physical Geography Knowledge on-demand semantic web ontology linked open data digital supply chain spatial data spatial knowledge Arnold, L.M. McMeekin, David Ivanova, Ivana Armstrong, K. Knowledge on-demand: a function of the future spatial knowledge infrastructure |
| title | Knowledge on-demand: a function of the future spatial knowledge infrastructure |
| title_full | Knowledge on-demand: a function of the future spatial knowledge infrastructure |
| title_fullStr | Knowledge on-demand: a function of the future spatial knowledge infrastructure |
| title_full_unstemmed | Knowledge on-demand: a function of the future spatial knowledge infrastructure |
| title_short | Knowledge on-demand: a function of the future spatial knowledge infrastructure |
| title_sort | knowledge on-demand: a function of the future spatial knowledge infrastructure |
| topic | Science & Technology Physical Sciences Technology Geography, Physical Remote Sensing Physical Geography Knowledge on-demand semantic web ontology linked open data digital supply chain spatial data spatial knowledge |
| url | http://hdl.handle.net/20.500.11937/78527 |