• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于本体的问题解决方法配置与知识获取工具生成:PROTEGE-II在基于协议的决策支持中的应用

Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support.

作者信息

Tu S W, Eriksson H, Gennari J H, Shahar Y, Musen M A

机构信息

Section on Medical Informatics, Stanford University School of Medicine, CA 94305-5479, USA.

出版信息

Artif Intell Med. 1995 Jun;7(3):257-89. doi: 10.1016/0933-3657(95)00006-r.

DOI:10.1016/0933-3657(95)00006-r
PMID:7581625
Abstract

PROTEGE-II is a suite of tools and a methodology for building knowledge-based systems and domain-specific knowledge-acquisition tools. In this paper, we show how PROTEGE-II can be applied to the task of providing protocol-based decision support in the domain of treating HIV-infected patients. To apply PROTEGE-II, (1) we construct a decomposable problem-solving method called episodic skeletal-plan refinement, (2) we build an application ontology that consists of the terms and relations in the domain, and of method-specific distinctions not already captured in the domain terms, and (3) we specify mapping relations that link terms from the application ontology to the domain-independent terms used in the problem-solving method. From the application ontology, we automatically generate a domain-specific knowledge-acquisition tool that is custom-tailored for the application. The knowledge-acquisition tool is used for the creation and maintenance of domain knowledge used by the problem-solving method. The general goal of the PROTEGE-II approach is to produce systems and components that are reusable and easily maintained. This is the rationale for constructing ontologies and problem-solving methods that can be composed from a set of smaller-grained methods and mechanisms. This is also why we tightly couple the knowledge-acquisition tools to the application ontology that specifies the domain terms used in the problem-solving systems. Although our evaluation is still preliminary, for the application task of providing protocol-based decision support, we show that these goals of reusability and easy maintenance can be achieved. We discuss design decisions and the tradeoffs that have to be made in the development of the system.

摘要

PROTEGE-II是一套用于构建基于知识的系统和特定领域知识获取工具的工具集及方法。在本文中,我们展示了如何将PROTEGE-II应用于为治疗HIV感染患者领域提供基于协议的决策支持任务。为了应用PROTEGE-II,(1)我们构建了一种名为情景骨架计划细化的可分解问题解决方法,(2)我们构建了一个应用本体,它由该领域的术语和关系以及领域术语中未涵盖的特定方法区别组成,(3)我们指定了映射关系,将应用本体中的术语与问题解决方法中使用的与领域无关的术语相链接。从应用本体中,我们自动生成一个为该应用量身定制的特定领域知识获取工具。该知识获取工具用于创建和维护问题解决方法所使用的领域知识。PROTEGE-II方法的总体目标是生成可重用且易于维护的系统和组件。这就是构建可由一组粒度更小的方法和机制组成的本体和问题解决方法的基本原理。这也是我们将知识获取工具与指定问题解决系统中使用的领域术语的应用本体紧密耦合的原因。尽管我们的评估仍处于初步阶段,但对于提供基于协议的决策支持这一应用任务,我们表明可实现可重用性和易于维护这些目标。我们讨论了系统开发中必须做出的设计决策和权衡。

相似文献

1
Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support.基于本体的问题解决方法配置与知识获取工具生成:PROTEGE-II在基于协议的决策支持中的应用
Artif Intell Med. 1995 Jun;7(3):257-89. doi: 10.1016/0933-3657(95)00006-r.
2
A rational reconstruction of INTERNIST-I using PROTEGE-II.使用PROTEGE-II对内科医生决策支持系统INTERNIST-I进行合理重构。
Proc Annu Symp Comput Appl Med Care. 1995:289-93.
3
PROTEGE-II: computer support for development of intelligent systems from libraries of components.PROTEGE-II:利用组件库为智能系统开发提供计算机支持。
Medinfo. 1995;8 Pt 1:766-70.
4
Knowledge reuse: temporal-abstraction mechanisms for the assessment of children's growth.知识重用:用于评估儿童生长的时间抽象机制。
Proc Annu Symp Comput Appl Med Care. 1993:449-53.
5
Kave: a tool for knowledge acquisition to support artificial ventilation.Kave:一种用于知识获取以支持人工通气的工具。
Comput Methods Programs Biomed. 1991 Feb-Mar;34(2-3):115-23. doi: 10.1016/0169-2607(91)90037-t.
6
Domain ontologies in software engineering: use of Protégé with the EON architecture.软件工程中的领域本体:使用Protégé与EON架构。
Methods Inf Med. 1998 Nov;37(4-5):540-50.
7
VM-in-Protégé: a study of software reuse.Protégé中的虚拟机:软件复用研究
Stud Health Technol Inform. 1998;52 Pt 1:644-8.
8
Knowledge-acquisition tools for medical knowledge-based systems.用于基于医学知识的系统的知识获取工具。
Methods Inf Med. 1995 Mar;34(1-2):25-39.
9
Therapy planning as constraint satisfaction: a computer-based antiretroviral therapy advisor for the management of HIV.作为约束满足的治疗规划:一款用于管理艾滋病病毒的基于计算机的抗逆转录病毒治疗顾问程序。
Proc AMIA Symp. 1998:627-31.
10
Modern architectures for intelligent systems: reusable ontologies and problem-solving methods.智能系统的现代架构:可复用本体和问题解决方法。
Proc AMIA Symp. 1998:46-52.

引用本文的文献

1
The Protégé Project: A Look Back and a Look Forward.Protégé项目:回顾与展望。
AI Matters. 2015 Jun;1(4):4-12. doi: 10.1145/2757001.2757003.
2
Milestones in software engineering and knowledge engineering history: a comparative review.软件工程与知识工程历史中的里程碑:比较性综述。
ScientificWorldJournal. 2014 Jan 27;2014:692510. doi: 10.1155/2014/692510. eCollection 2014.
3
Software-engineering challenges of building and deploying reusable problem solvers.构建和部署可复用问题解决器的软件工程挑战。
Artif Intell Eng Des Anal Manuf. 2009 Nov;23(Spec Iss 4):339-356. doi: 10.1017/S0890060409990047.
4
Building an ontology for pressure ulcer risk assessment to allow data sharing and comparisons across hospitals.构建用于压疮风险评估的本体,以实现医院间的数据共享和比较。
AMIA Annu Symp Proc. 2010 Nov 13;2010:382-6.
5
PHSkb: a knowledgebase to support notifiable disease surveillance.PHSkb:一个支持法定传染病监测的知识库。
BMC Med Inform Decis Mak. 2005 Aug 16;5:27. doi: 10.1186/1472-6947-5-27.
6
Automatic generation of a metamodel from an existing knowledge base to assist the development of a new analogous knowledge base.从现有知识库自动生成元模型,以辅助开发新的类似知识库。
Proc AMIA Symp. 2002:66-70.
7
BrainImageJ: a Java-based framework for interoperability in neuroscience, with specific application to neuroimaging.BrainImageJ:一个基于Java的神经科学互操作性框架,特别应用于神经成像。
J Am Med Inform Assoc. 2001 Sep-Oct;8(5):431-42. doi: 10.1136/jamia.2001.0080431.
8
Identification of global data and partitioning scheme for modeling biological data within the electronic medical record.识别全局数据和分区方案以对电子病历中的生物数据进行建模。
Proc AMIA Symp. 2000:195-9.
9
The interactions between clinical informatics and bioinformatics: a case study.临床信息学与生物信息学之间的相互作用:一项案例研究。
J Am Med Inform Assoc. 2000 Sep-Oct;7(5):439-43. doi: 10.1136/jamia.2000.0070439.
10
Semi-automated entry of clinical temporal-abstraction knowledge.临床时间抽象知识的半自动录入
J Am Med Inform Assoc. 1999 Nov-Dec;6(6):494-511. doi: 10.1136/jamia.1999.0060494.