Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12253/308
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Lopez-Pellicer, Francisco | - |
dc.contributor.author | Silva, Mário | - |
dc.contributor.author | Chaves, Marcirio | - |
dc.contributor.author | Zarazaga-Soria, F. Javier | - |
dc.contributor.author | Muro-Medrano, Pedro | - |
dc.date.accessioned | 2012-01-19T23:38:53Z | - |
dc.date.available | 2012-01-19T23:38:53Z | - |
dc.date.issued | 2010-09-30 | - |
dc.identifier.uri | http://hdl.handle.net/10884/308 | - |
dc.description.abstract | Semantic Web applications that include map visualization clients are becoming common. When the description of an entity contains coordinate pairs, semantic applications often lay them as pins on maps provided by Web mapping service applications, such as Google Maps. Nowadays, semantic applications cannot guarantee that those maps provide spatial information related to the entities pinned to them. To address this issue, this paper proposes a refinement of Linked Data practices, named Geo Linked Data, which defines a lightweight semantic infrastructure to relate URIs that identify real world entities with geospatial Web resources, such as maps. | pt_PT |
dc.language.iso | eng | pt_PT |
dc.publisher | Lecture Notes in Computer Science 6261 Springer | pt_PT |
dc.rights | openAccess | en |
dc.subject | linked data | pt_PT |
dc.subject | geography | pt_PT |
dc.subject | semantic web | pt_PT |
dc.title | Geo Linked Data | pt_PT |
dc.type | conferenceObject | pt_PT |
Appears in Collections: | A CTIC/STI - Comunicações a Conferências |
Files in This Item:
File | Description | Size | Format | |
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dexa2010.pdf | 1.24 MB | Adobe PDF | View/Open |
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