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knowledge extraction中文是什么意思

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用"knowledge extraction"造句"knowledge extraction"怎么读"knowledge extraction" in a sentence

中文翻译手机手机版

  • 知识提取
  • 知识撷取 [知识题取

例句与用法

  • In these bases , a mutual knowledge extraction system is programmed
    在此基础上,编程实现了一个交互式的知识抽取系统。
  • Diagnostic knowledge extraction based on variable precision rough - fuzzy sets integration model
    模糊集模型的诊断知识获取
  • Applying rough sets a knowledge extraction methodology for agents is introduced
    提出一种基于粗糙集的agent知识获取方法。
  • The evolution of om and web knowledge extraction effectively promote open integration of knowledge
    Om (组织记忆)的进化和web知识抽取有效地促进了知识的开放性集成。
  • The open integration of knowledge depends on knowledge conversion , knowledge extraction and knowledge stanchion
    知识的开放性集成依赖于知识转换、知识抽取和知识标注。
  • Therefore , a study of incremental data mining algorithm is urgently needed . incremental data mining only modifies rule sets when database is updated , which takes advantage of previous calculation result and prevents knowledge extraction from the very beginning
    把增量算法与数据库的更新结合在一起,渐增地进行知识的更新、修正和加强先前业已发现的知识,这样可以不必重新挖掘全部数据。
  • As a novel tool for knowledge extraction , the rough set theory can supply reliable data to maintenance technicians for rapid and effective fault diagnosis by the " reduction " of information system and extracting a set of minimal diagnostic conditions in the fault diagnosis system
    应用粗糙集理论挖掘工具,对故障信息系统“约简” ,在故障诊断系统中提取最小诊断条件集,可为设备维护人员提供快捷、有效的诊断依据。
  • ( 1 ) for methodological syncretization of emi and km , existing reference architectures ( ras ) do not clearly reflect the level characteristics of enterprise knowledge and its organization and application modes . ( 2 ) for enterprise knowledge capture and application , existing enterprise modeling methods face the dilemma of how to facilitate friendly collaboration and communication between system analysts / developers and enterprise staffs , and how to help system analysts / developers utilize model knowledge to carry out effective quantitative analysis . ( 3 ) for knowledge re - use , it lacks powerful knowledge repository systems for enterprise model re - use and corresponding mechanisms for knowledge extraction , classification and index
    目前国内外关于该方向的研究尚处于起步阶段,有许多问题亟待解决,主要表现在:在企业集成与知识管理的方法论融合方面,现有参考体系结构没有很好地反映出企业知识的层次特征及其组织、应用方式;在企业知识的收集与应用方面,现有企业建模方法在如何促进系统分析设计人员与企业人员进行友好的合作与交流和如何帮助系统分析设计人员利用模型知识进行有效的定量分析这两个问题上存在着矛盾;在知识重用方面,缺乏面向企业模型重用的功能完备的知识库系统及相应的知识提炼和分类检索机制,能够被业界广泛接受的参考模型尚不多见;在建立面向企业集成的基于知识的系统方面,尚没有很好地解决知识的形式化表示问题,缺乏用于描述企业深层知识的形式化建模手段。
  • In cbt courseware development platform , many function and application are supported by multimedia knowledge database . the text language knowledge is the most basic knowledge form , so text knowledge automatism extraction becomes the key technique in the cbt courseware development . the paper mostly introduces how the knowledge extraction system is designed and realize in the cbt courseware development
    在cbt ( computerbasedtraining )课件开发平台中,很多的功能和应用都是以多媒体知识库为后台支持的,其中文本语言知识是最基本的知识形式,因此文本知识自动抽取成为cbt课件开发中的关键技术之一。
  • To support end - user - programming and reuse composition knowledge , this paper discusses the key problems of how to extract , manage and reuse the composition knowledge in the service - oriented applications , and presents a service composition template based approach to larger - granularity business - level composition knowledge management and initiative recommendation - trybest , the main research work and contribution of this dissertation is described as follows : ( 1 ) proposed a novel approach to service composition knowledge management and recommendation - trybest we introduce the thinking of software reuse into composition knowledge extraction and use ; propose an approach to service composition knowledge extraction by using make use of the technology of case based rule and vinca process
    在业务端编程思想和面向最终用户编程的vinca语言已有工作的基础上,从支持最终用户编程、对组合知识复用的角度出发,提出了面向业务用户的基于服务组合模板的大粒度业务级组合知识的管理与主动推荐方法? ? trybest ,通过对服务组合中组合知识的抽取、管理和复用,为最终业务用户主动参与面向服务的应用构造提供支持。主要工作和贡献如下:提出了一种支持复用的服务组合知识管理和主动推荐方法? ? trybest 。
  • 更多例句:  1  2
用"knowledge extraction"造句  

百科解释

Knowledge Extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing.
详细百科解释
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