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Geographic Information Science [electronic resource] :Third International Conference, GIScience 2004, Adelphi, MD, USA, October 20-23, 2004. Proceedings /

Contributor(s): Egenhofer, Max J [editor.] | Freksa, Christian [editor.] | Miller, Harvey J [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 3234Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.Description: VIII, 348 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540302315.Subject(s): Geography | Earth sciences | Database management | Information storage and retrieval | Multimedia information systems | Geographical information systems | Geography | Geographical Information Systems/Cartography | Database Management | Information Systems Applications (incl. Internet) | Information Storage and Retrieval | Multimedia Information Systems | Earth Sciences, generalOnline resources: Click here to access online
Contents:
Contested Nature of Place: Knowledge Mapping for Resolving Ontological Distinctions Between Geographical Concepts -- Geo-Self-Organizing Map (Geo-SOM) for Building and Exploring Homogeneous Regions -- Can Relative Adjacency Contribute to Space Syntax in the Search for a Structural Logic of the City? -- Semi-automatic Ontology Alignment for Geospatial Data Integration -- Modeling Surface Hydrology Concepts with Endurance and Perdurance -- Procedure to Select the Best Dataset for a Task -- Floating-Point Filter for the Line Intersection Algorithm -- Project Lachesis: Parsing and Modeling Location Histories -- The SPIRIT Spatial Search Engine: Architecture, Ontologies and Spatial Indexing -- Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis -- 3D GIS for Geo-coding Human Activity in Micro-scale Urban Environments -- Arc_Mat, a Toolbox for Using ArcView Shape Files for Spatial Econometrics and Statistics -- A Predictive Uncertainty Model for Field-Based Survey Maps Using Generalized Linear Models -- Information Dissemination in Mobile Ad-Hoc Geosensor Networks -- Public Commons of Geographic Data: Research and Development Challenges -- Alternative Buffer Formation -- Effect of Category Aggregation on Map Comparison -- Simplifying Sets of Events by Selecting Temporal Relations -- Towards a Temporal Extension of Spatial Allocation Modeling -- Formalizing User Actions for Ontologies -- Landmarks in the Communication of Route Directions -- From Objects to Events: GEM, the Geospatial Event Model.
In: Springer eBooksSummary: This section gives a description of notions used throughout this study. Current achievements in developing action-centered ontologies are also discussed. 2.1 Ontologies In the context of information extraction and retrieval, different kinds of ontologies can be distinguished [15]: • Top-level ontologies describe very general concepts like space and time, not depending on a particular domain, • Domain ontologies and task ontologies describe the vocabulary related to a generic domain or kind of task, detailing the terms used in the top-level ontology, • Application ontologies describe the concepts that depend on the particular domain and task within a specific activity. Several investigations have been conducted to bring actions (tasks) to bear on - tologies. Among them are Chandrasekaran et al. [6] and Mizoguchi et al. [23] in the fields of AI and Knowledge Engineering. For the geospatial domain, Kuhn [21] and Raubal and Kuhn [26] have attempted to support human actions in ontologies for transportation. Acknowledging the importance of human actions in the geographic domain, a research workshop was held in 2002, bringing together experts from diff- ent disciplines to share the knowledge and work on this issue [1]. Camara [5], one of the workshop participants, has proposed that action-driven spatial ontologies are formed via category theory, for the case of emergency action plans.
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Contested Nature of Place: Knowledge Mapping for Resolving Ontological Distinctions Between Geographical Concepts -- Geo-Self-Organizing Map (Geo-SOM) for Building and Exploring Homogeneous Regions -- Can Relative Adjacency Contribute to Space Syntax in the Search for a Structural Logic of the City? -- Semi-automatic Ontology Alignment for Geospatial Data Integration -- Modeling Surface Hydrology Concepts with Endurance and Perdurance -- Procedure to Select the Best Dataset for a Task -- Floating-Point Filter for the Line Intersection Algorithm -- Project Lachesis: Parsing and Modeling Location Histories -- The SPIRIT Spatial Search Engine: Architecture, Ontologies and Spatial Indexing -- Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis -- 3D GIS for Geo-coding Human Activity in Micro-scale Urban Environments -- Arc_Mat, a Toolbox for Using ArcView Shape Files for Spatial Econometrics and Statistics -- A Predictive Uncertainty Model for Field-Based Survey Maps Using Generalized Linear Models -- Information Dissemination in Mobile Ad-Hoc Geosensor Networks -- Public Commons of Geographic Data: Research and Development Challenges -- Alternative Buffer Formation -- Effect of Category Aggregation on Map Comparison -- Simplifying Sets of Events by Selecting Temporal Relations -- Towards a Temporal Extension of Spatial Allocation Modeling -- Formalizing User Actions for Ontologies -- Landmarks in the Communication of Route Directions -- From Objects to Events: GEM, the Geospatial Event Model.

This section gives a description of notions used throughout this study. Current achievements in developing action-centered ontologies are also discussed. 2.1 Ontologies In the context of information extraction and retrieval, different kinds of ontologies can be distinguished [15]: • Top-level ontologies describe very general concepts like space and time, not depending on a particular domain, • Domain ontologies and task ontologies describe the vocabulary related to a generic domain or kind of task, detailing the terms used in the top-level ontology, • Application ontologies describe the concepts that depend on the particular domain and task within a specific activity. Several investigations have been conducted to bring actions (tasks) to bear on - tologies. Among them are Chandrasekaran et al. [6] and Mizoguchi et al. [23] in the fields of AI and Knowledge Engineering. For the geospatial domain, Kuhn [21] and Raubal and Kuhn [26] have attempted to support human actions in ontologies for transportation. Acknowledging the importance of human actions in the geographic domain, a research workshop was held in 2002, bringing together experts from diff- ent disciplines to share the knowledge and work on this issue [1]. Camara [5], one of the workshop participants, has proposed that action-driven spatial ontologies are formed via category theory, for the case of emergency action plans.

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