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GeoSpatial Semantics

Overview of attention for book
Cover of 'GeoSpatial Semantics'

Table of Contents

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    Book Overview
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    Chapter 1 Inter-disciplinary Interoperability for Global Sustainability Research
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    Chapter 2 Improving Geodatabase Semantic Querying Exploiting Ontologies
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    Chapter 3 A Supervised Machine Learning Approach for Duplicate Detection over Gazetteer Records
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    Chapter 4 An Approach to the Management of Multiple Aligned Multilingual Ontologies for a Geospatial Earth Observation System
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    Chapter 5 Identifying Geographical Processes from Time-Stamped Data
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    Chapter 6 DO-ROAM: Activity-Oriented Search and Navigation with OpenStreetMap
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    Chapter 7 Urban Area Characterization Based on Semantics of Crowd Activities in Twitter
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    Chapter 8 On the (Limited) Difference between Feature and Geometric Semantic Similarity Models
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    Chapter 9 A Facet-Based Methodology for Geo-Spatial Modeling
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    Chapter 10 Advocacy for External Quality in GIS
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    Chapter 11 Multi-criteria Geographic Information Retrieval Model Based on Geospatial Semantic Integration
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    Chapter 12 A Description Logic Approach to Discover Suspicious Itineraries from Maritime Container Trajectories
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    Chapter 13 Integration of Spatial Processing and Knowledge Processing Through the Semantic Web Stack
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    Chapter 14 Towards Heterogeneous Resources-Based Ambiguity Reduction of Sub-typed Geographic Named Entities
Attention for Chapter 6: DO-ROAM: Activity-Oriented Search and Navigation with OpenStreetMap
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Chapter title
DO-ROAM: Activity-Oriented Search and Navigation with OpenStreetMap
Chapter number 6
Book title
GeoSpatial Semantics
Published by
Springer, Berlin, Heidelberg, May 2011
DOI 10.1007/978-3-642-20630-6_6
Book ISBNs
978-3-64-220629-0, 978-3-64-220630-6
Authors

Mihai Codescu, Gregor Horsinka, Oliver Kutz, Till Mossakowski, Rafaela Rau

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 7%
United Kingdom 1 4%
Argentina 1 4%
Unknown 23 85%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Ph. D. Student 5 19%
Student > Doctoral Student 3 11%
Lecturer 3 11%
Other 3 11%
Other 6 22%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 15 56%
Business, Management and Accounting 2 7%
Earth and Planetary Sciences 2 7%
Environmental Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 4 15%
Unknown 2 7%