knowledge extraction造句
例句与造句
- 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。 - It's difficult to find knowledge extraction in a sentence. 用knowledge extraction造句挺难的
- 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 。 - Since probably all data mining algorithms using rough set approach are based on the core , this revision will increase the efficiency of knowledge extraction . this paper also presents a further study on the data - mining approach with combination of rough set theory and expansion matrix theory , and uncovers the advantages and disadvantages of both
本文还对结合扩张矩阵理论和粗糙集理论进行数据挖掘的方法作了进一步的探讨，指出了各自优缺点的根源所在，有利于充分利用两者的优势，同时尽量消除两者在处理数据中的不足，获得更为理想的数据挖掘算法。 - This paper introduces a method of knowledge extraction , which is based on ontology . the method uses the hiberarchy of extracted information as information extraction root , and uses induction study to produce rules of information extraction , and is effectively used in extracting web information
文中介绍了一种知识抽取的方法，它以本体论为基础，以所要提取的信息的层次结构作为信息提取的路径，利用归纳学习来半自动地生成信息提取规则，对web页面的信息提取具有较高的效率。 - Here , to solve the difficulty of knowledge acquisition , three modified - rs - model - based methods are given for fault diagnostic knowledge extraction respectively . they also make up for the deficiency of classical rs theory . then , a framework based on variable precision rough sets theory is produced for fault diagnostic expert systems
基于变精度粗糙集模型、概率粗糙集模型和互信息熵等理论，从不同角度给出了3种故障诊断知识提取的方法，解决了知识获取的困难，弥补了经典粗糙集理论进行知识获取的不足。