1.

Record Nr.

UNINA9910299426003321

Autore

Zhang Chuanrong

Titolo

Geospatial Semantic Web [[electronic resource] /] / by Chuanrong Zhang, Tian Zhao, Weidong Li

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-17801-6

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (198 p.)

Disciplina

005.7

410.285

910

910285

Soggetti

Geographical information systems

Application software

Computational linguistics

Geographical Information Systems/Cartography

Information Systems Applications (incl. Internet)

Computational Linguistics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di contenuto

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.

Sommario/riassunto

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.