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论文:生物与医学中基于案例推理系统语义互操作性的框架

Mémoire: A framework for semantic interoperability of case-based reasoning systems in biology and medicine.

作者信息

Bichindaritz Isabelle

机构信息

University of Washington, 1900 Commerce Street, Tacoma, WA 98402, USA.

出版信息

Artif Intell Med. 2006 Feb;36(2):177-92. doi: 10.1016/j.artmed.2005.10.009. Epub 2006 Feb 3.

DOI:10.1016/j.artmed.2005.10.009
PMID:16459063
Abstract

OBJECTIVE

Mémoire is a framework for sharing and distributing case bases and case-based reasoning (CBR) systems in biology and medicine.

METHODS AND MATERIAL

This paper first introduces the semantic Web approach to build a better Web where search engines, knowledge sources and servers, applications and services can live, work, and learn in cooperation. This semantic approach is particularly well suited for biomedical domains because significant ontologies have been developed there and constitute a sound basis for the standardization effort required for the semantic Web. Case-based reasoning systems in biomedicine have also benefited from these biomedical ontologies and models.

RESULTS

This article demonstrates for three such systems how a semantics infused approach in CBR gives better, more accurate results in CBR. From this previous work on a semantic approach in CBR in biomedicine, the Mémoire framework has evolved.

CONCLUSION

Mémoire proposes a unified OWL-based representation language for cases and case-based ontologies in biomedicine, where a Web Ontology Language (OWL) is a language to represent ontologies on the Web. Mémoire provides a set of tools for building case-based reasoning systems compliant with its language. Mémoire is extensible and can be adapted to different types of biomedical application domains, tasks, and environments. Mémoire will permit bridging the gap within the multiple case-based reasoning systems dedicated to a single domain, and make available to agents and Web services the case-based competency of the CBR systems adopting its interchange language. The approach could be extended to other application domains of CBR.

摘要

目标

Mémoire是一个用于在生物学和医学领域共享和分发案例库及基于案例推理(CBR)系统的框架。

方法与材料

本文首先介绍语义网方法,以构建一个更优的网络,使搜索引擎、知识源与服务器、应用程序及服务能够协同生存、工作和学习。这种语义方法特别适用于生物医学领域,因为该领域已开发出重要的本体,为语义网所需的标准化工作奠定了坚实基础。生物医学中的基于案例推理系统也受益于这些生物医学本体和模型。

结果

本文针对三个此类系统展示了在CBR中融入语义的方法如何在CBR中产生更好、更准确的结果。基于此前在生物医学CBR语义方法方面的工作,Mémoire框架得以发展。

结论

Mémoire为生物医学中的案例及基于案例的本体提出了一种基于OWL的统一表示语言,其中网络本体语言(OWL)是一种用于在网络上表示本体的语言。Mémoire提供了一组工具,用于构建符合其语言的基于案例推理系统。Mémoire具有可扩展性,可适应不同类型的生物医学应用领域、任务和环境。Mémoire将弥合致力于单一领域的多个基于案例推理系统之间的差距,并使采用其交换语言的CBR系统的基于案例能力可供智能体和网络服务使用。该方法可扩展到CBR的其他应用领域。

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