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Geospatial information integration based on the conceptualization of geographic domain

Authors:

Marco MorenoAuthors Info & Claims

GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems

Article No.: 73, Pages 1 - 4

https://doi.org/10.1145/1463434.1463518

Published: 05 November 2008 Publication History

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Abstract

Geospatial information integration is not a trivial task. An integrated view must be able to describe various heterogeneous data sources and its interrelation to obtain shared conceptualizations. Up-to-date, there are different and public ontologies for many domains and applications. Ontology engineering is rapidly becoming a mature discipline, which has produced various tools and methodologies for building and managing ontologies. However, even with a clearly defined engineering methodology, building a large ontology remains a challenging, time-consuming and error-prone task, since it forces ontology builders to conceptualize their expert knowledge explicitly and to re-organize it in typical ontological categories such as concepts, properties and axioms. In this paper, an approach to conceptualize the geographic domain is described. As a result of this conceptualization, we propose a semantic method for geospatial information integration. This consists of providing semantic descriptions, which explicitly describe the properties and relations of geographic objects represented by concepts, while the behavior describes the objects semantics. Summing up, this work presents a methodology allowing integrate and share geospatial information. It provides feasible solutions towards these and other related issues such as compact data by alternative structures of knowledge representation and avoids the ambiguity of these terms, using a geographic domain conceptualization. The general vision of the paper is to establish the basis to implement semantic processing oriented to geospatial data. Future works are focused on designing intelligent geographic information systems (iGIS).

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Cited By

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Tai Xin Liu SFan Xiaoteng (2015)Digital geographic information based complex electromagnetic environment signal simulation and generation2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)10.1109/ICEMI.2015.7494520(1284-1288)Online publication date: Jul-2015
https://doi.org/10.1109/ICEMI.2015.7494520
Siricharoen WPakdeetrakulwong U(2014)A survey on ontology-driven geographic information systems2014 Fourth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)10.1109/DICTAP.2014.6821679(180-185)Online publication date: May-2014
https://doi.org/10.1109/DICTAP.2014.6821679
Stankute SAsche H(2010)Geometrical DCC-Algorithm for merging polygonal geospatial dataProceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part I10.1007/978-3-642-12156-2_39(515-527)Online publication date: 23-Mar-2010
https://dl.acm.org/doi/10.1007/978-3-642-12156-2_39

Index Terms

Geospatial information integration based on the conceptualization of geographic domain
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Theory of computation
  1. Logic

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Information

Published In

GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems

November 2008

559 pages

ISBN:9781605583235

DOI:10.1145/1463434

Program Chairs:
Walid G. Aref
Purdue University
,
Mohamed F. Mokbel
University of Minnesota
,
Markus Schneider
University of Florida

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New York, NY, United States

Publication History

Published: 05 November 2008

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GIS '08: 16th International Symposium on Advances in Geographic Information Systems

November 5 - 7, 2008

California, Irvine

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Tai Xin Liu SFan Xiaoteng (2015)Digital geographic information based complex electromagnetic environment signal simulation and generation2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)10.1109/ICEMI.2015.7494520(1284-1288)Online publication date: Jul-2015
https://doi.org/10.1109/ICEMI.2015.7494520
Siricharoen WPakdeetrakulwong U(2014)A survey on ontology-driven geographic information systems2014 Fourth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)10.1109/DICTAP.2014.6821679(180-185)Online publication date: May-2014
https://doi.org/10.1109/DICTAP.2014.6821679
Stankute SAsche H(2010)Geometrical DCC-Algorithm for merging polygonal geospatial dataProceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part I10.1007/978-3-642-12156-2_39(515-527)Online publication date: 23-Mar-2010
https://dl.acm.org/doi/10.1007/978-3-642-12156-2_39

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A semi-automatic lightweight ontology bridging for the semantic integration of cross-domain geospatial information

A semi-automatic lightweight ontology bridging for the semantic integration of cross-domain geospatial information