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Geospatial semantic web

Zhang, Chuanrong.

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Geospatial semantic web

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Geospatial semantic web/ by Chuanrong Zhang, Tian Zhao, Weidong Li.
作者:	Zhang, Chuanrong.
其他作者:	Zhao, Tian.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	vii, 194 p. :ill. (some col.), digital ;24 cm.
內容註:	Chapter one: Geospatial data interoperability, Geography Markup Language (GML), Scalable Vector Graphics (SVG), and Geospatial Web Services -- Chapter two: Conceptual frameworks of Geospatial Semantic Web -- Chapter three: Ontology languages and Geospatial Semantic Web -- Chapter four: Ontology data query in Geospatial Semantic Web -- Chapter five: Volunteered Geographic Information (VGI) systems and their interactions with Geospatial Semantic Web -- Chapter six: Applications of Geospatial Semantic Web -- Chapter Seven: Current and Future Challenges of Geospatial Semantic Web -- Index.
Contained By:	Springer eBooks
標題:	Geospatial data. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-17801-1
ISBN:	9783319178011 (electronic bk.)

Geospatial semantic web
Zhang, Chuanrong.

Geospatial semantic web[electronic resource] /by Chuanrong Zhang, Tian Zhao, Weidong Li. - Cham :Springer International Publishing :2015. - vii, 194 p. :ill. (some col.), digital ;24 cm.

Chapter one: Geospatial data interoperability, Geography Markup Language (GML), Scalable Vector Graphics (SVG), and Geospatial Web Services -- Chapter two: Conceptual frameworks of Geospatial Semantic Web -- Chapter three: Ontology languages and Geospatial Semantic Web -- Chapter four: Ontology data query in Geospatial Semantic Web -- Chapter five: Volunteered Geographic Information (VGI) systems and their interactions with Geospatial Semantic Web -- Chapter six: Applications of Geospatial Semantic Web -- Chapter Seven: Current and Future Challenges of Geospatial Semantic Web -- Index.

This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; geospatial ontology for semantic interoperability; ontology creation, sharing, and integration; querying knowledge and information from heterogeneous data source; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web; challenges of Geospatial Semantic Web; and development of Geospatial Semantic Web applications. This book also describes state-of-the-art technologies that attempt to solve these problems such as WFS, WMS, RDF, OWL, and GeoSPARQL, and demonstrates how to use the Geospatial Semantic Web technologies to solve practical real-world problems such as spatial data interoperability.

ISBN: 9783319178011 (electronic bk.)

Standard No.: 10.1007/978-3-319-17801-1doiSubjects--Topical Terms:

630237
Geospatial data.

LC Class. No.: G70.217.G46

Dewey Class. No.: 910.285

Geospatial semantic web
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505 0 $a Chapter one: Geospatial data interoperability, Geography Markup Language (GML), Scalable Vector Graphics (SVG), and Geospatial Web Services -- Chapter two: Conceptual frameworks of Geospatial Semantic Web -- Chapter three: Ontology languages and Geospatial Semantic Web -- Chapter four: Ontology data query in Geospatial Semantic Web -- Chapter five: Volunteered Geographic Information (VGI) systems and their interactions with Geospatial Semantic Web -- Chapter six: Applications of Geospatial Semantic Web -- Chapter Seven: Current and Future Challenges of Geospatial Semantic Web -- Index.
520 $a This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; geospatial ontology for semantic interoperability; ontology creation, sharing, and integration; querying knowledge and information from heterogeneous data source; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web; challenges of Geospatial Semantic Web; and development of Geospatial Semantic Web applications. This book also describes state-of-the-art technologies that attempt to solve these problems such as WFS, WMS, RDF, OWL, and GeoSPARQL, and demonstrates how to use the Geospatial Semantic Web technologies to solve practical real-world problems such as spatial data interoperability.
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