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Exploiting Reusable Knowledge to Enhance Multi- Agents Capabilities: Mining Data Model and Glossary Repositories

机译:利用可重用知识来增强多代理功能:挖掘数据模型和词汇表存储库

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The main goal of this paper is to explore ideas on knowledge reuse in the rapidly evolving area of multi-agent ontology as they deal with less structured and information found in unfamiliar contexts. The diverse use of the "knowledgeable agents" obscures the fact that within f research to provide standard electronic services and multi-agent solutions there is a fragile dependency on heterogeneous knowledge. The recent "semantic web" approach argues for letting diverse ontologies bloom while traditional E-Commerce approaches are pursuing terminological standard. This paper looks at the usefulness of intermediating agents designed to mine pre-existing repositories of conceptual models and domain glossary information to help distributed communities such as articulated as semantic web and E-Commerce agents. The paper illustrates some examples of conceptual data models and glossaries knowledge reuse for these applications. Finally, it speculates as to mediating agent dialog reusing intermediate forms of structured and less structured domain knowledge.
机译:本文的主要目的是在多主体本体论快速发展的领域中探索有关知识重用的思想,因为它们处理的是结构化程度较低的信息以及在陌生环境中发现的信息。 “知识主体”的不同使用掩盖了以下事实:在提供标准电子服务和多主体解决方案的研究中,对异构知识的脆弱依赖。最近的“语义网”方法主张在传统的电子商务方法追求术语标准的同时,让各种本体绽放。本文探讨了旨在挖掘概念模型和域词汇表信息的现有存储库的中介代理的有用性,以帮助诸如语义网络和电子商务代理之类的分布式社区。本文举例说明了这些应用程序的概念数据模型和词汇表知识重用的一些示例。最后,它推测出中介代理对话重用结构化和非结构化领域知识的中间形式。

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