This introductory textbook teaches the simple development of
geospatial applications based on the principles and software tools
of geospatial data science. It introduces a new generation of
geospatial technologies that have emerged from the development of
the Semantic Web and the linked data paradigm, and shows how data
scientists can use them to build environmental applications easily.
Geospatial data science is the science of collecting, organizing,
analyzing, and visualizing geospatial data. Since around 2010,
there has been extensive work in the area of geospatial data
science using semantic technologies and linked data, from
researchers in the areas of the Semantic Web, Geospatial Databases
and Geoinformatics. The main results of this research have been the
publication of the OGC standard GeoSPARQL and the implementation of
a number of linked data tools supporting this standard. Up to now,
there has been no textbook that enables someone to teach this
material to undergraduate or graduate students. The material of the
book is developed in a tutorial style and it is appropriate for an
introductory course on the subject. This can be an advanced
undergraduate course or a graduate course offered by Computer
Science or GIS faculty. It is a hands-on approach and every chapter
contains exercises that help students master the material. The book
is accompanied by a Web site where solutions to some of the
exercises are given together with supplementary material such as
datasets and code. Most of the material in the book has been tried
in the "Knowledge Technologies" course taught by the first author
in the Department of Informatics and Telecommunications of the
National and Kapodistrian University of Athens since 2012.
General
| Imprint: |
Association of Computing Machinery,U.S.
|
| Country of origin: |
United States |
| Release date: |
June 2023 |
| Editors: |
Manolis Koubarakis
|
| Dimensions: |
229 x 152mm (L x W) |
| Pages: |
364 |
| ISBN-13: |
979-84-00-70738-4 |
| Categories: |
Books
Promotions
|
| LSN: |
XJ2-V9G-HGU-7 |
| Barcode: |
9798400707384 |
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