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

نویسندگان

  • W. Li
  • Chaowei Phil Yang
  • D. Nebert
  • R. Raskin
  • Paul R. Houser
  • H. Wu
  • Z. Li
چکیده

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. & 2011 Elsevier Ltd. All rights reserved.

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عنوان ژورنال:
  • Computers & Geosciences

دوره 37  شماره 

صفحات  -

تاریخ انتشار 2011