Geospatial Data Science/ A Hands-on Approach for Building Geospatial Applications Using Linked Data Technologies Manolis Koubarakis,

Format:

Book

Author/Creator:

Koubarakis, Manolis, editor.

Series:

ACM books - Collection 3 ; #51.

ACM books, 2374-6777 ; #51

Language:

English

Subjects (All):

Geospatial Data Science(Computer Science).

Genre:

Electronic books.

Physical Description:

1 online resource (xxviii, 336pages) LuaTEX

Edition:

First Edition

Place of Publication:

[New York, NY, USA] : Association for Computing Machinery; [2023].

System Details:

Mode of access: World Wide Web

System requirements: Adobe Acrobat Reader

Contents:

Preface

Geospatial Data Science

Some Questions

Why Study Geospatial Data Science?

What Background Is Needed?

Why This Book?

A Note for Instructors

Acknowledgments

1 Introduction

1.1 Ontologies and Linked Data

1.2 Geospatial Ontologies and Linked Geospatial Data

1.3 Linked Geospatial Data Models

1.4 Linked Geospatial Data Systems

1.5 Geospatial Knowledge Graphs

1.6 Summary

1.7 Exercise

2 Geospatial Data Modeling

2.1 Two Modeling Approaches

2.1.1 The Feature-Based Approach

2.1.2 Algebra and Calculi of Qualitative Spatial Relations

2.1.3 The Field-Based Approach

2.2 Implementation Techniques

2.2.1 Raster Representation

2.2.2 Vector Representation

2.2.3 Representation by Constraints

2.3 Summary

2.4 Exercises

3 Legacy Geospatial Data Technologies

3.1 Geospatial Data and Metadata

3.2 OGC Standards for Vector Data

3.2.1 Coordinate Reference Systems

3.2.2 The Well-Known Text Standard

3.2.3 The Geography Markup Language Standard

3.3 The CoverageJSON Format for Raster Data

3.4 Storing Geometries in Files

3.4.1 Shapefiles

3.4.2 The GeoTIFF Format

3.4.3 The NetCDF Standard

3.5 Storing Geometries in Relational DBMS

3.5.1 The PostGIS Extension of PostgreSQL

3.5.2 Importing Shapefiles in a PostGIS Database

3.5.3 Accessing Geospatial Databases using QGIS

3.6 Summary

3.7 Exercises

4 Ontologies and Linked Data

4.1 The Data Model RDF

4.2 The Query Language SPARQL

4.3 The Ontology Language RDFS

4.4 The Web Ontology Language OWL 2

4.5 Summary

4.6 Exercises

5 Geospatial Ontologies

5.1 Basic Concepts

5.2 The GeoSPARQL Ontology

5.2.1 Core

5.2.2 Topology Vocabulary Extension

5.2.3 Geometry Extension

5.3 The Schema.org Ontology

5.3.1 Class schema:GeoCoordinates

5.3.2 Class schema:GeoShape

5.3.3 Class schema:Place

5.4 Comparing the GeoSPARQL Ontology with the Geospatial Part of Schema.org

5.5 Other Geospatial Vocabularies

5.6 Summary

5.7 Exercises

6 Linked Geospatial Data

6.1 The Global Administrative Areas Dataset

6.2 The CORINE Land Cover Dataset

6.3 The Leaf Area Index Dataset

6.4 The OpenStreetMap Dataset

6.4.1 Layer for Buildings

6.4.2 Layer for Land Use

6.4.3 Layer for Places

6.4.4 Layer for Points of Interest

6.4.5 Layer for Roads

6.4.6 Layer for Traffic

6.4.7 Layer for Transport

6.5 Publishing Geospatial Data on the Web

6.6 Summary

6.7 Exercises

7 Querying Geospatial Data Expressed in RDF

7.1 The Query Language GeoSPARQL

7.1.1 The Geometry Extension

7.1.2 The Geometry Topology Extension

7.1.3 The RDFS Entailment Extension

7.1.4 The Query Rewrite Extension

7.2 The Model stRDF and the Query Language stSPARQL

7.2.1 The Temporal Dimension of stRDF and stSPARQL

7.3 The Query Language GeoSPARQL+

7.4 The Proposed Language GeoSPARQL 1.1

7.4.1 Extended GeoSPARQL Ontology

7.4.2 Non-topological Query Functions

7.4.3 Spatial Aggregate Functions

7.4.4 Profile Definition

7.4.5 RDF Validation File

7.5 Summary

7.6 Exercises

8 Visualizing Linked Geospatial Data

8.1 The Tool Sextant

8.2 Thematic Maps

8.2.1 Map Ontology

8.2.2 Map Registry

8.2.3 Map Sharing

8.2.4 Map Search

8.3 Layers in Sextant

8.3.1 Raster Layers

8.3.2 Vector Layers

8.3.3 Layer Manipulation

8.3.4 Temporal Layers

8.4 Querying SPARQL Endpoints

8.5 Exploring SPARQL Endpoints

8.6 Summary

8.7 Exercises

9 Transforming Geospatial Data into RDF

9.1 The Tool GeoTriples

9.2 Example

9.3 The Tool GeoTriples-Spark

9.4 Similar Systems

9.5 Summary

9.6 Exercises

10 Interlinking Geospatial Data Sources

10.1 Creating Links

10.2 Geospatial Interlinking

10.2.1 Existing Tools and Approaches

10.2.2 Geospatial Interlinking in Practice with Silk

10.3 Link Discovery

10.3.1 Existing Tools and Approaches

10.3.2 Link Discovery in Practice with JedAI

10.4 Summary

11 Geospatial Ontology-based Data Access

11.1 Ontology-based Data Access

11.2 Ontop-spatial

11.3 Datasets

11.4 Creating Mappings

11.5 Querying

11.5.1 Breweries

11.5.2 Breweries in Athens

11.5.3 Parks in Athens

11.5.4 Roads Crossing the Boundaries of Athens

11.5.5 Restaurants in Athens

11.6 Summary

11.7 Exercises

12 Incomplete Geospatial Information

12.1 The Various Facets of Incomplete Information

12.2 Challenges to Querying Incomplete Geospatial Information

12.2.1 Entailed Topological Information

12.2.2 Entailed Spatial Information

12.2.3 Mixing Quantitative and Qualitative Information

12.3 Querying Incomplete Geospatial Information in the RDFⁱ Framework

12.3.1 Overview of the RDFⁱ Framework

12.3.2 Querying Entailed Topological Information

12.3.3 Querying Entailed Spatial Information

12.3.4 Querying Geospatial Information

12.4 Other Approaches to Managing Incomplete Geospatial Information

12.5 Summary

12.6 Exercises

13 Geospatial RDF Stores

13.1 Early Experimental Systems

13.1.1 Perry's Ph.D. Dissertation

13.1.2 The System of Brodt et al.

13.2 Outdated Systems

13.2.1 OpenRDF Sesame

13.2.2 uSeekM

13.3 Current Systems with Limited GeoSPARQL Functionality

13.3.1 AllegroGraph

13.3.2 OpenLink Virtuoso

13.3.3 Blazegraph DB

13.3.4 MarkLogic

13.4 Systems with Partial GeoSPARQL Support

13.4.1 Stardog

13.4.2 Strabon

13.4.3 Eclipse RDF4J (Formerly OpenRDF Sesame)

13.5 Systems with Extensive GeoSPARQL Support

13.5.1 Parliament

13.5.2 AnzoGraph DB

13.5.3 GraphDB

13.5.4 Apache Jena GeoSPARQL

13.6 Geospatial RDF Stores as a Service

13.6.1 Metaphactory

13.6.2 TriplyDB

13.7 Summary

13.8 Exercise

14 Geospatial Knowledge Graphs

14.1 The Knowledge Graph YAGO

14.2 The DBpedia Knowledge Graph

14.3 The Knowledge Graph Wikidata

14.4 The Knowledge Graph YAGO2geo

14.4.1 Data Sources

14.4.2 Methodology

14.5 Geospatial Knowledge in YAGO2geo

14.5.1 Extending YAGO4 Knowledge Graph with Geospatial Knowledge

14.6 The Knowledge Graph WorldKG

14.6.1 The WorldKG Ontology

14.6.2 Population of the WorldKG ontology

14.7 The Knowledge Graph KnowWhereGraph

14.8 Summary

14.9 Exercises

15 Question Answering Engines for Geospatial Knowledge Graphs

15.1 The Benchmark GeoQuestions201

15.2 The Geospatial QA System GeoQA

15.3 The Graphical User Interface of GeoQA

15.3.1 Asking a Question-Home Page

15.3.2 Displaying the Answer-Answer Page

15.3.3 Customizing the Pipeline-Options

15.4 Other Geospatial QA Research

15.5 Summary

15.6 Exercises

16 Putting It All Together: A Data Science Pipeline for Linked Earth Observation Data

16.1 Ingestion, Processing, Cataloguing, and Archiving

16.2 Dataset Discovery

16.3 Knowledge Discovery

16.4 Transformation into RDF

16.5 Interlinking

16.6 Publishing

16.7 Storage, Querying, and Question Answering

16.8 Search/Browse/Explore/Visualize

16.9 Summary

16.10 Exercise

17 Conclusions

Appendix A Prefixes

Bibliography

Authors' Biographies

Index

Other Format:

Print version:

ISBN:

3581906

9798400707414

9798400707391

Access Restriction:

Restricted for use by site license.