Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data

Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data

Release Date: March, 2012|Copyright: © 2012 |Pages: 304
DOI: 10.4018/978-1-4666-0327-1
ISBN13: 9781466603271|ISBN10: 1466603275|EISBN13: 9781466603288
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Description & Coverage
Description:

A universal approach to the ontology of geographic space has already been, and is going to be, a comprehensive task for establishing more effective spatial models. The concept of a universal spatial ontology should be independent of location, culture, and time. It should be fundamental and universal in the same way that the number p defines the ratio between the diameter and the circumference of a circle. The term “universal” therefore means all-embracing and for general propose.

Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data aims to escalate the current scope of research to support the development of semantically interoperable systems of geographic space. This reference will aid university lecturers and professors, students, researchers, developers of spatial applications.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Automated generalization
  • Benchmarking spatial semantic interfaces
  • Data acquisition, Integration, and Interoperability based on universal ontology of geographic space
  • GIS as spatial cognitive system
  • Human–computer interaction (HCI) upgraded for spatial semantic content
  • Information standards as ontology of GIS technology
  • Integration of spatial concepts in natural languages
  • Ontology Authoring and Copyrights
  • Ontology charts and browsers
  • Semantic data tagging, Intelligent agents, and Search engines
  • Standardized universal ontology of geographic space
  • Universal ontology of geographic space in urban 3D applications
Reviews & Statements

A Universal Ontology of Geographic Space is about a single global ontology of geographic space, about a unified ontology of spatial planning and spatial analysis, thinking and reasoning, about a universal semantic reference system of geographic space, and about a semantic interoperability framework for geospatial information.

– Cyprus, EU; Moscow, RussiaAzamat Abdoullaev
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Editor/Author Biographies
Tomaž Podobnikar is a research advisor at Scientific Research Centre of the Slovenian Academy of Sciences and Arts, and an assistant professor at Faculty of Civil and Geodetic Engineering at University of Ljubljana. He also worked at Delft University Technology (The Netherlands), University of Franche-Comté (France) and Vienna University of Technology (Austria). He holds a BSc in GIS and its applications in natural environment and archaeology, MSc in Monte Carlo methods and GIS, PhD in digital terrain modeling on the base of semantic integration of different type and quality data sources. He is the author of several publications on GIS, DTM and its applications, modeling of spatial quality fields, environmental archaeology and biology, paleo- and planetary environments, as well as historical cartography and analytical shading. He has been working on numerous projects, for example production of a national DTM that is currently widely available, on the base of his method.
Marjan Ceh is currently working at the University of Ljubljana, Faculty of Civil and Geodetic Engineering. He has been involved in the analyses of semantic enrichment of spatial databases last ten years due to his interests in the field of GIS, land management and real estate mass valuation modeling. In 2003 he published a book “Semantic interoperability of spatial data bases” in Slovenian language, at the ZRC Publishing of Slovenian Academy of Science. He described an ontology of geographic space, hierarchic model which represents a context framework of geographic space and several semantic measures, aimed to apply semantic enrichment of spatial databases in natural language.
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Editorial Advisory Board
  • Michel Aurnague, Université de Toulouse – Le Mirail, France
  • Thomas Bittner, State University of New York at Buffalo, USA
  • John Florian Sowa, Vivomind Intelligence Inc., USA
  • Laura Spinsanti, Swiss Federal Institute of Technology, Switzerland
  • Thora Tenbrink, University of Bremen, Germany
  • Emile van der Zee, University of Lincoln, UK