Prognosis 发表于 2025-3-27 00:59:02

Just Add Weights: Markov Logic for the Semantic Webons. Markov logic brings the power of probabilistic modeling to first-order logic by attaching weights to logical formulas and viewing them as templates for features of Markov networks. This gives natural probabilistic semantics to uncertain or even inconsistent knowledge bases with minimal engineer

LAY 发表于 2025-3-27 04:20:49

Semantic Science: Ontologies, Data and Probabilistic Theorieson data are published for the purposes of improving or comparing the theories, and for making predictions in new cases. This paper concentrates on issues and progress in having machine accessible scientific theories that can be used in this way. This paper presents the grand vision, issues that have

GET 发表于 2025-3-27 07:54:31

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Pageant 发表于 2025-3-27 12:51:27

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Mechanics 发表于 2025-3-27 14:34:30

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MAIZE 发表于 2025-3-27 21:11:23

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arterioles 发表于 2025-3-28 01:01:09

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脊椎动物 发表于 2025-3-28 03:09:13

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Melatonin 发表于 2025-3-28 08:58:07

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CRACY 发表于 2025-3-28 11:16:47

An Ontology-Based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelentations of practice guidelines have been implemented with semantic web technologies, there is no implementation to represent uncertainty in activity graphs in clinical practice guidelines. In this paper, we explore a Bayesian Network(BN) approach for representing the uncertainty in CPGs based on o
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查看完整版本: Titlebook: Uncertainty Reasoning for the Semantic Web I; ISWC International W Paulo Cesar G. Costa,Claudia d’Amato,Michael Pool Conference proceedings