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KNAML: A Knowledge Representation Language for Distributed Reasoning

机译:KNAML:分布式推理的知识表示语言

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摘要

The Knowledge Agent Mediation Language (KNAML) is designed for use in multi-agent reasoning systems. Like conceptual graphs, KNAML represents knowledge using concepts, relations, and graphs. Concepts and relations are linked to form graphs, and graphs may be nested within other graphs. Additional constructs are used to support distributed reasoning and ontological concision. KNAML treats ontologies as knowledge domains that happen to be of the ontology domain. It uses an ontology of ontologies to define the concept and relation types available in an ontology. KNAML knowledge resources are modular to facilitate rapid development and efficient inter-agent processing. KNAML supports ontological specification of an extensible set of knowledge modalities, such as workflows, decision trees, and graphs that reflect the processing specializations of various knowledge agents and supports multi-modal knowledge authoring. Implemented in Java, KNAML supports subsumption, unification, and binding operations required by the host multi-agent system to carry out knowledge discovery and synthesis.
机译:知识代理中介语言(KNAML)设计用于多代理推理系统。像概念图一样,KNAML使用概念,关系和图表示知识。概念和关系链接到表单图,并且图可以嵌套在其他图内。其他构造用于支持分布式推理和本体论的简洁。 KNAML将本体视为恰好属于本体领域的知识领域。它使用本体的本体来定义本体中可用的概念和关系类型。 KNAML知识资源是模块化的,可促进快速开发和有效的代理间处理。 KNAML支持一组可扩展的知识模式的本体论规范,例如工作流,决策树和反映各种知识主体的处理专业知识的图表,并支持多模式知识创作。 KNAML以Java实现,支持主机多代理系统执行知识发现和综合所需的包含,统一和绑定操作。

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