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

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

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1752-1762
Number of pages11
JournalComputers and Geosciences
Volume37
Issue number11
DOIs
StatePublished - Nov 2011
Externally publishedYes

Keywords

  • Arctic
  • Crawler
  • Hydrology
  • Knowledge base
  • Ontology
  • SDI
  • Semantic
  • Service chain

ASJC Scopus subject areas

  • Information Systems
  • Computers in Earth Sciences

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