Geographic Information Science Third International Conference, GIScience 2004, Adelphi, MD, USA, October 20-23, 2004. Proceedings / [electronic resource] :
edited by Max J. Egenhofer, Christian Freksa, Harvey J. Miller.
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
- VIII, 348 p. online resource.
- Lecture Notes in Computer Science, 3234 0302-9743 ; .
- Lecture Notes in Computer Science, 3234 .
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.
9783540302315
10.1007/b101397 doi
Computer science.
Mathematical geography.
Database management.
Information storage and retrieval systems.
Information systems.
Multimedia systems.
Computer Science.
Database Management.
Information Systems Applications (incl.Internet).
Information Storage and Retrieval.
Multimedia Information Systems.
Computer Applications in Earth Sciences.
QA76.9.D3
005.74
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.
9783540302315
10.1007/b101397 doi
Computer science.
Mathematical geography.
Database management.
Information storage and retrieval systems.
Information systems.
Multimedia systems.
Computer Science.
Database Management.
Information Systems Applications (incl.Internet).
Information Storage and Retrieval.
Multimedia Information Systems.
Computer Applications in Earth Sciences.
QA76.9.D3
005.74