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ISPRS Int. J. Geo-Inf. 2016, 5(10), 179; doi:10.3390/ijgi5100179

An Integrated Software Framework to Support Semantic Modeling and Reasoning of Spatiotemporal Change of Geographical Objects: A Use Case of Land Use and Land Cover Change Study

1,* , 1
and
1,2
1
School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287-5302, USA
2
School of Computer and Information Science, Southwest University, Chongqing 400715, China
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 23 June 2016 / Revised: 14 September 2016 / Accepted: 20 September 2016 / Published: 30 September 2016
(This article belongs to the Special Issue Geospatial Semantics and Semantic Web)
View Full-Text   |   Download PDF [4046 KB, uploaded 30 September 2016]   |  

Abstract

Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC) over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in effective organization, representation and modeling of such information. This study proposes and implements an integrated computational framework to support the modeling, semantic and spatial reasoning of change information with regard to space, time and topology. We first proposed a conceptual model to formally represent the spatiotemporal variation of change data, which is essential knowledge to support various environmental and social studies, such as deforestation and urbanization studies. Then, a spatial ontology was created to encode these semantic spatiotemporal data in a machine-understandable format. Based on the knowledge defined in the ontology and related reasoning rules, a semantic platform was developed to support the semantic query and change trajectory reasoning of areas with LULCC. This semantic platform is innovative, as it integrates semantic and spatial reasoning into a coherent computational and operational software framework to support automated semantic analysis of time series data that can go beyond LULC datasets. In addition, this system scales well as the amount of data increases, validated by a number of experimental results. This work contributes significantly to both the geospatial Semantic Web and GIScience communities in terms of the establishment of the (web-based) semantic platform for collaborative question answering and decision-making. View Full-Text
Keywords: geospatial semantic modeling; change detection; land use and land cover; semantic reasoning; spatial reasoning geospatial semantic modeling; change detection; land use and land cover; semantic reasoning; spatial reasoning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, W.; Zhou, X.; Wu, S. An Integrated Software Framework to Support Semantic Modeling and Reasoning of Spatiotemporal Change of Geographical Objects: A Use Case of Land Use and Land Cover Change Study. ISPRS Int. J. Geo-Inf. 2016, 5, 179.

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