A context model for knowledge-intensive
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PINAR ÖZTÜRK; AGNAR AAMODT
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Article
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1998
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Elsevier Science
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English
⚖ 436 KB
Decision-support systems that help solving problems in open and weak theory domains, i.e. hard problems, need improved methods to ground their models in real-world situations. Models that attempt to capture domain knowledge in terms of, e.g. rules or deeper relational networks, tend either to become