Semantic-based web service discovery and chaining for building an Arctic spatial data infrastructure

  • Authors:

  • W. Li;C. Yang;D. Nebert;R. Raskin;P. Houser;H. Wu;Z. Li

  • Affiliations:

  • Department of Geography and GeoInformation Science and Center of Intelligent Spatial Computing for Water/Energy Science, George Mason University, Fairfax, VA 22030, USA;Department of Geography and GeoInformation Science and Center of Intelligent Spatial Computing for Water/Energy Science, George Mason University, Fairfax, VA 22030, USA;Federal Geographic Data Committee, 590 National Center, Reston, VA 20192, USA;NASA Jet Propulsion Laboratory, Pasadena, CA, USA;Department of Geography and GeoInformation Science and Center of Intelligent Spatial Computing for Water/Energy Science, George Mason University, Fairfax, VA 22030, USA;Department of Geography and GeoInformation Science and Center of Intelligent Spatial Computing for Water/Energy Science, George Mason University, Fairfax, VA 22030, USA;Department of Geography and GeoInformation Science and Center of Intelligent Spatial Computing for Water/Energy Science, George Mason University, Fairfax, VA 22030, USA

  • Venue:
  • Computers & Geosciences
  • Year:
  • 2011

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Abstract

Increasing interests in a global environment and climate change have led to studies focused on the changes in the multinational Arctic region. To facilitate Arctic research, a spatial data infrastructure (SDI), where Arctic data, information, and services are shared and integrated in a seamless manner, particularly in light of today's climate change scenarios, is urgently needed. In this paper, we utilize the knowledge-based approach and the spatial web portal technology to prototype an Arctic SDI (ASDI) by proposing (1) a hybrid approach for efficient service discovery from distributed web catalogs and the dynamic Internet; (2) a domain knowledge base to model the latent semantic relationships among scientific data and services; and (3) an intelligent logic reasoning mechanism for (semi-)automatic service selection and chaining. A study of the influence of solid water dynamics to the bio-habitat of the Arctic region is used as an example to demonstrate the prototype.