9781439869970.pdf
Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Dat...
| Γλώσσα: | English |
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| Έκδοση: |
Taylor & Francis
2020
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| Διαθέσιμο Online: | https://www.taylorfrancis.com/books/9780429109973 |
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oapen-20.500.12657-41678 |
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dspace |
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oapen-20.500.12657-416782020-09-22T00:44:44Z Linked Data Hart, Glen Dolbear, Catherine Data Preparation and Mining Internet and Multimedia GIS, Remote Sensing and Cartography ENVIRO SCI-TECH COMPUTERSCIENCE ENVIRONMENTALSCIENCE ITECH INFORMATIONSCIENCE STM assumption consortium geospatial hypertext language ontology open semantic web world bic Book Industry Communication::U Computing & information technology::UN Databases::UNF Data mining bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues::UBW Internet: general works bic Book Industry Communication::T Technology, engineering, agriculture::TQ Environmental science, engineering & technology bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGW Geographical information systems (GIS) & remote sensing Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so. In easy-to-understand terms, it equips you with the knowledge you need to think about Geographic Information through the lens of the Semantic Web. 2020-09-21T13:36:58Z 2020-09-21T13:36:58Z 2013 book ONIX_20200921_9781439869970_38 https://library.oapen.org/handle/20.500.12657/41678 eng application/pdf n/a 9781439869970.pdf https://www.taylorfrancis.com/books/9780429109973 Taylor & Francis CRC Press 10.1201/b13877 10.1201/b13877 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb CRC Press 289 open access |
| institution |
OAPEN |
| collection |
DSpace |
| language |
English |
| description |
Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so. In easy-to-understand terms, it equips you with the knowledge you need to think about Geographic Information through the lens of the Semantic Web. |
| title |
9781439869970.pdf |
| spellingShingle |
9781439869970.pdf |
| title_short |
9781439869970.pdf |
| title_full |
9781439869970.pdf |
| title_fullStr |
9781439869970.pdf |
| title_full_unstemmed |
9781439869970.pdf |
| title_sort |
9781439869970.pdf |
| publisher |
Taylor & Francis |
| publishDate |
2020 |
| url |
https://www.taylorfrancis.com/books/9780429109973 |
| _version_ |
1771297507248177152 |
