Knowledge acquisition for natural resource management

Alison Gunn, Geoff Sutcliffe, Daniel Walker

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Decision support systems (DSSs) can play a powerful role in natural resource management (NRM), by allowing more effective and collective use of information in addressing complex and often poorly structured questions. CSIRO Tropical Agriculture, in Townsville, Australia, is developing a DSS generator that provides a flexible environment for the construction of decision support tools that assist in assessing the implications of proposed policies or management actions. In this context, the POSEIDON system was designed to help resource managers with the problem formulation phase of building a DSS, i.e. identifying specific issues that need to be analysed to provide an answer to a broad NRM question. This is achieved by a form of knowledge acquisition from free text, which performs intelligent analysis of NRM documents. This article describes the design of POSEIDON and its application in NRM problem formulation.

Original languageEnglish (US)
Pages (from-to)71-82
Number of pages12
JournalComputers and Electronics in Agriculture
Volume23
Issue number1
DOIs
StatePublished - Jun 1 1999
Externally publishedYes

Keywords

  • Decision support systems
  • Knowledge presentation
  • Text summarisation

ASJC Scopus subject areas

  • Forestry
  • Agronomy and Crop Science
  • Computer Science Applications
  • Horticulture

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