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dc.contributor.authorSiao Him Fa, J.
dc.contributor.authorReed, T.
dc.contributor.authorTan, C.
dc.contributor.authorWest, G.
dc.contributor.authorMcMeekin, David
dc.contributor.authorMoncrieff, S.
dc.contributor.authorCox, S.
dc.date.accessioned2017-01-30T12:15:47Z
dc.date.available2017-01-30T12:15:47Z
dc.date.created2016-02-10T19:30:17Z
dc.date.issued2015
dc.identifier.citationSiao Him Fa, J. and Reed, T. and Tan, C. and West, G. and McMeekin, D. and Moncrieff, S. and Cox, S. 2015. Search and orchestration of data and processes in a federated environment, in Proceedings of the 4th ISPRS International Workshop on Web Mapping and Geoprocessing Services, Jul 1-3 2015, pp. 34-39. Sardinia, Italy: ISPRS.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/19795
dc.identifier.doi10.5194/isprsarchives-XL-4-W7-35-2015
dc.description.abstract

This paper describes on-going research on streamlining the access and use of spatial data and processes in Australia. Spatial data in Australia is available on-line at many levels of government from local authorities, state and territories (jurisdictions), and nationally from the Commonwealth and other sources. Much of this data is available via Open Geospatial Consortium and World Wide Web Consortium standard web services. This abstract discusses three related research topics that have been identified by a wide range of stakeholders through a comprehensive consultation process. These are search and discovery, federation and orchestration of data and processes. The commonality across the three research topics is that they all require Semantic Web and Artificial Intelligence methods and embrace the various standards, and if needed, propose modifications to such standards

dc.publisherisprs
dc.titleSearch and orchestration of data and processes in a federated environment
dc.typeConference Paper
dcterms.source.volumeXL-4/W7
dcterms.source.startPage41
dcterms.source.endPage45
dcterms.source.titleInt. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
dcterms.source.seriesInt. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
dcterms.source.conference4th ISPRS International Workshop on Web Mapping and Geoprocessing Services
curtin.note

This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/ Please refer to the licence to obtain terms for any further reuse or distribution of this work.

curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusOpen access


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