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Table of Contents
Preface; Organizing Committee; Scientific Programme Committee Chairs; Local Organizing Committee; Scientific Programme Committee; Contents; Part I Cognitive and Computational Aspects onSpatial Concepts; A Computational Model for Context and Spatial Concepts; 1 Introduction; 2 State of the Art; 2.1 (Spatial) Concepts; 2.2 Context and Its Influence on Concepts; 3 An Abstract Model for Context
Dependent Concepts; 4 A Computational Model for Context-Dependent Concepts; 5 Case Study: Mapping the Spatial Relation ``near'' onto Spatial Queries; 5.1 The Case Study of ``near''
5.2 Examples for the Mapping of ``near'' onto Spatial Queries6 Conclusions and Outlook; References; 2 Inferring Complex Geographical Concepts with Implicit Geometries Using Ontologies: A Case of Peninsulas; Abstract; 1 Introduction; 2 Related Work; 2.1 Algorithmic Approach to Concept Inference; 2.2 Ontology-Driven Spatial Data Interpretation; 3 Method; 3.1 Generic Algorithms to Detect Primitive Relations and Implicit Geometries; 3.2 Formalizing Geographical Concepts with Description Logics; 3.2.1 Reasoning with Description Logics; 3.3 Concept Interpretation as Reasoning Over Knowledge Bases
4 Case Study: Interpreting Peninsulas from Spatial Databases4.1 Setting the Scene; 4.2 Initializing the Knowledge Base; 4.2.1 Characterization of Peninsula Candidates; 4.2.2 Refined Results; 5 Main Findings and Outlook; Acknowledgments; References; Question-Based Spatial Computing
A Case Study; 1 Introduction; 2 Question-Based Spatial Computing; 3 Related Work; 4 Core Concepts and Computations for Spatial Information; 5 A Case Study from Economics; 5.1 Solution with Procedural GIS; 5.2 Solution Based on Spatial Questions; 5.3 Implementation ; 5.4 Comparison and Discussion; 6 Conclusions
3.2 Geographic Matching3.3 Machine Learning; 4 Evaluation; 4.1 Experimental Results; 4.2 Preliminary Evaluation; 5 Conclusion and Future Work; References; Part II Crowdsourcing and Social Networks; 6 Android-Based Multi-Criteria Evaluation Approach for Enhancing Public Participation for a Wind Farm Site Selection; Abstract; 1 Introduction; 2 System Architecture; 2.1 Client Design; 2.2 Server Design; 2.3 Geospatial Integration and Study Area; 3 Wind Farm Siting: Implementation of an Android Spatial Decision Support Tool; 3.1 User Interface; 3.2 Voting and Decision Making Process
Dependent Concepts; 4 A Computational Model for Context-Dependent Concepts; 5 Case Study: Mapping the Spatial Relation ``near'' onto Spatial Queries; 5.1 The Case Study of ``near''
5.2 Examples for the Mapping of ``near'' onto Spatial Queries6 Conclusions and Outlook; References; 2 Inferring Complex Geographical Concepts with Implicit Geometries Using Ontologies: A Case of Peninsulas; Abstract; 1 Introduction; 2 Related Work; 2.1 Algorithmic Approach to Concept Inference; 2.2 Ontology-Driven Spatial Data Interpretation; 3 Method; 3.1 Generic Algorithms to Detect Primitive Relations and Implicit Geometries; 3.2 Formalizing Geographical Concepts with Description Logics; 3.2.1 Reasoning with Description Logics; 3.3 Concept Interpretation as Reasoning Over Knowledge Bases
4 Case Study: Interpreting Peninsulas from Spatial Databases4.1 Setting the Scene; 4.2 Initializing the Knowledge Base; 4.2.1 Characterization of Peninsula Candidates; 4.2.2 Refined Results; 5 Main Findings and Outlook; Acknowledgments; References; Question-Based Spatial Computing
A Case Study; 1 Introduction; 2 Question-Based Spatial Computing; 3 Related Work; 4 Core Concepts and Computations for Spatial Information; 5 A Case Study from Economics; 5.1 Solution with Procedural GIS; 5.2 Solution Based on Spatial Questions; 5.3 Implementation ; 5.4 Comparison and Discussion; 6 Conclusions
3.2 Geographic Matching3.3 Machine Learning; 4 Evaluation; 4.1 Experimental Results; 4.2 Preliminary Evaluation; 5 Conclusion and Future Work; References; Part II Crowdsourcing and Social Networks; 6 Android-Based Multi-Criteria Evaluation Approach for Enhancing Public Participation for a Wind Farm Site Selection; Abstract; 1 Introduction; 2 System Architecture; 2.1 Client Design; 2.2 Server Design; 2.3 Geospatial Integration and Study Area; 3 Wind Farm Siting: Implementation of an Android Spatial Decision Support Tool; 3.1 User Interface; 3.2 Voting and Decision Making Process