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Towards intelligent GIServices

Earth Science Informatics volume 8, pages 463–481 (2015)Cite this article

Abstract

Distributed information infrastructures are increasingly used in the geospatial domain. In the infrastructures, data are being collected by distributed sensor services, served by distributed geospatial data services, transformed by processing services and workflows, and consumed by smart clients. Consequently, Geographical Information Systems (GISs) are moving from GISystems to GIServices. Intelligent GIServices are enriched with new capabilities including knowledge representation, semantic reasoning, automatic workflow composition, and quality and traceability. Such Intelligent GIServices facilitate information discovery and integration over the network and automate the assembly of GIServices to provide value-added products. This paper provides an overview of intelligent GIServices. The concept of intelligent GIServices is described, followed by a review of the state-of-the-art technologies and methodologies relevant to intelligent GIServices. Visions on how GIServices can perceive, reason, learn, and act intelligently are highlighted. The results can provide better services for big data processing, semantic interoperability, knowledge discovery, and cross-discipline collaboration in Earth science applications.

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Acknowledgments

We are grateful to Dr. Rahul Ramachandran and anonymous reviewers for their constructive comments and suggestions. The work was supported by National Basic Research Program of China (2011CB707105), National Natural Science Foundation of China (91438203 and 41271397), Hubei Science and Technology Support Program (2014BAA087),Program for New Century Excellent Talents in University (NCET-13-0435), and Fundamental Research Funds for the Central Universities (2042014kf0224).

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Authors and Affiliations

  1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, 129 Luoyu Road, Wuhan, Hubei, 430079, China

    Peng Yue & Liangcun Jiang

  2. Jacobs University Bremen, Bremen, Germany

    Peter Baumann

  3. University of Alabama in Huntsville, Huntsville, AL, 35899, USA

    Kaylin Bugbee

Authors
  1. Peng Yue
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  2. Peter Baumann
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  3. Kaylin Bugbee
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  4. Liangcun Jiang
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Correspondence to Peng Yue.

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Communicated by: H. A. Babaie

Published in the Special Issue of Intelligent GIServices with Guest Editors Dr. Peng Yue, Dr. Rahul Ramachandran and Dr. Peter Baumann

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Yue, P., Baumann, P., Bugbee, K. et al. Towards intelligent GIServices. Earth Sci Inform 8, 463–481 (2015). https://doi.org/10.1007/s12145-015-0229-z

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Keywords

  • GIServices
  • Intelligent GIServices
  • GIS·Big data
  • Intelligent systems
  • Artificial intelligence