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GeoSpatial Semantics

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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 7: Urban Area Characterization Based on Semantics of Crowd Activities in Twitter
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Chapter title
Urban Area Characterization Based on Semantics of Crowd Activities in Twitter
Chapter number 7
Book title
GeoSpatial Semantics
Published by
Springer, Berlin, Heidelberg, May 2011
DOI 10.1007/978-3-642-20630-6_7
Book ISBNs
978-3-64-220629-0, 978-3-64-220630-6
Authors

Shoko Wakamiya, Ryong Lee, Kazutoshi Sumiya

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Student > Master 11 18%
Researcher 10 17%
Lecturer 5 8%
Student > Postgraduate 2 3%
Other 9 15%
Unknown 7 12%
Readers by discipline Count As %
Computer Science 24 40%
Social Sciences 7 12%
Engineering 6 10%
Environmental Science 4 7%
Design 3 5%
Other 6 10%
Unknown 10 17%