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.
Author(s): Pragya Agarwal (auth.), Max J. Egenhofer, Christian Freksa, Harvey J. Miller (eds.)
Series: Lecture Notes in Computer Science 3234
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2004
Language: English
Pages: 348
Tags: Database Management; Information Systems Applications (incl.Internet); Information Storage and Retrieval; Multimedia Information Systems; Computer Applications in Earth Sciences
Front Matter....Pages -
Contested Nature of Place : Knowledge Mapping for Resolving Ontological Distinctions Between Geographical Concepts....Pages 1-21
Geo-Self-Organizing Map (Geo-SOM) for Building and Exploring Homogeneous Regions....Pages 22-37
Can Relative Adjacency Contribute to Space Syntax in the Search for a Structural Logic of the City?....Pages 38-50
Semi-automatic Ontology Alignment for Geospatial Data Integration....Pages 51-66
Modeling Surface Hydrology Concepts with Endurance and Perdurance....Pages 67-80
Procedure to Select the Best Dataset for a Task....Pages 81-93
Floating-Point Filter for the Line Intersection Algorithm....Pages 94-105
Project Lachesis: Parsing and Modeling Location Histories....Pages 106-124
The SPIRIT Spatial Search Engine: Architecture, Ontologies and Spatial Indexing....Pages 125-139
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis....Pages 140-161
3D GIS for Geo-coding Human Activity in Micro-scale Urban Environments....Pages 162-178
Arc_Mat, a Toolbox for Using ArcView Shape Files for Spatial Econometrics and Statistics....Pages 179-190
A Predictive Uncertainty Model for Field-Based Survey Maps Using Generalized Linear Models....Pages 191-205
Information Dissemination in Mobile Ad-Hoc Geosensor Networks....Pages 206-222
Public Commons of Geographic Data: Research and Development Challenges....Pages 223-238
Alternative Buffer Formation....Pages 239-250
Effect of Category Aggregation on Map Comparison....Pages 251-268
Simplifying Sets of Events by Selecting Temporal Relations....Pages 269-284
Towards a Temporal Extension of Spatial Allocation Modeling....Pages 285-298
Formalizing User Actions for Ontologies....Pages 299-312
Landmarks in the Communication of Route Directions....Pages 313-326
From Objects to Events: GEM, the Geospatial Event Model....Pages 327-343
Back Matter....Pages -
