Geospatial Semantic Web

Geospatial Semantic Web

by Chuanrong Zhang, Tian Zhao, Weidong Li

Paperback(Softcover reprint of the original 1st ed. 2015)

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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.

Product Details

ISBN-13: 9783319378398
Publisher: Springer International Publishing
Publication date: 11/04/2016
Edition description: Softcover reprint of the original 1st ed. 2015
Pages: 194
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

About the Author

Chuanrong Zhang is currently an associate professor at University of Connecticut and holds a joint appointment with Department of Geography and the Center for Environmental Sciences and Engineering (CESE). She received her PhD degree in GIS from University of Wisconsin, Milwaukee in 2004. She has several years of working experience in computer companies. Her current research interests include Internet GIS, spatial statistics, and applications of these techniques in natural resource and environmental management.

Tian Zhao obtained his Ph.D. degree in Computer Science from Purdue University in 2002. He is currently an associate professor at University of Wisconsin, Milwaukee. His research interests include programming languages, type systems, program analysis, parallel programming, Geospatial Semantic Web, and GIS.

Weidong Li is currently a professor in geospatial information engineering at Huazhong Agricultural University, and also a research professor at University of Connecticut. He received a Master’s degree in computer science from Marquette University and obtained a PhD degree in soil and water science in 1995 from China Agricultural University. His research interest is focused on geostatistics, Internet GIS, and geoinformatics for natural resource management.

Table of Contents

Chapter one: Geospatial data interoperability, Geography Markup Language (GML), Scalable Vector Graphics (SVG), and Geospatial Web Services.- Geospatial data interoperability.- Geography Markup Language.- Scalable Vector Graphics.- Geospatial web services.- Chapter two: Conceptual frameworks of Geospatial Semantic Web.- Semantic problem of spatial data.- What is Geospatial Semantic Web? Why Do We Need Geospatial Semantic Web?.- A Geospatial Semantic Web Architecture.- Chapter three: Ontology languages and Geospatial Semantic Web.- RDF (Resource Description Framework).- OWL (Web Ontology Language).- From UML (Unified Modeling Language) to OWL.- Ontology-based reasoning and rule-based knowledge inference.-Chapter four: Ontology data query in Geospatial Semantic Web.- Introduction.- SPARQL.- GeoSPARQL.- Spatial data indexing.- Spatial join.- GeoSPARQL query algorithm.- Optimization and parallelization.- Related works.- Chapter five: Volunteered Geographic Information (VGI) systems and their interactions with Geospatial Semantic Web.- Volunteered Geographic Information (VGI) and Geospatial Semantic Web.- A Framework of an interoperable online VGI system.- A case study for developing an interoperable online VGI system.- Current challenges and future studies for online VGI system.- Chapter six: Applications of Geospatial Semantic Web.- Background.- NLP (Natural Language Processing) based geospatial query interface.- Volunteered geospatial information system.- Geospatial interface for transit network.- Spatial decision support system.- Chapter Seven: Current and Future Challenges of Geospatial Semantic Web.- Service Composition issue.- Natural Language Processing (NLP) issue.- Ontology issue.- Performance issue.- Geospatial big data issue.- Cloud computing issue.- Index.

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