Interoperable cross-domain semantic and geospatial framework for automatic change detection

Chiao Ling Kuo, Jung-Hong Hong

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

With the increasingly diverse types of geospatial data established over the last few decades, semantic interoperability in integrated applications has attracted much interest in the field of Geographic Information System (GIS). This paper proposes a new strategy and framework to process cross-domain geodata at the semantic level. This framework leverages the semantic equivalence of concepts between domains through bridge ontology and facilitates the integrated use of different domain data, which has been long considered as an essential superiority of GIS, but is impeded by the lack of understanding about the semantics implicitly hidden in the data. We choose the task of change detection to demonstrate how the introduction of ontology concept can effectively make the integration possible. We analyze the common properties of geodata and change detection factors, then construct rules and summarize possible change scenario for making final decisions. The use of topographic map data to detect changes in land use shows promising success, as far as the improvement of efficiency and level of automation is concerned. We believe the ontology-oriented approach will enable a new way for data integration across different domains from the perspective of semantic interoperability, and even open a new dimensionality for the future GIS.

Original languageEnglish
Pages (from-to)109-119
Number of pages11
JournalComputers and Geosciences
Volume86
DOIs
Publication statusPublished - 2016 Jan 1

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Semantics
Geographic information systems
Ontology
Interoperability
common property resource
Data integration
automation
Land use
Automation
detection
land use
geographic information system

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computers in Earth Sciences

Cite this

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Interoperable cross-domain semantic and geospatial framework for automatic change detection. / Kuo, Chiao Ling; Hong, Jung-Hong.

In: Computers and Geosciences, Vol. 86, 01.01.2016, p. 109-119.

Research output: Contribution to journalArticle

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