例句與造句

1. this knowledge repository can satisfy our resent requirment
   該知識(shí)庫(kù)能夠?qū)崿F(xiàn)現(xiàn)階段對(duì)語(yǔ)言知識(shí)驅(qū)動(dòng)計(jì)算機(jī)分析的需要。
2. with the rapid development of internet, web has become one of the most important knowledge repositories
   隨著internet的迅猛發(fā)展,web已成為最重要的知識(shí)庫(kù)之一。
3. this dissertation mainly discuss the knowledge repository and the article knowledge extracting based on it as well as describe a brief nlp frame
   本文提出了一個(gè)粗略的自然語(yǔ)言處理模型并在后臺(tái)語(yǔ)言知識(shí)庫(kù)和文章知識(shí)提取方面做了初步的研究。
4. (2 ) strengthen mechanism of knowledge activity such as building knowledge repository, information system, mechanism of knowledge prompting and knowledge management team
   加強(qiáng)知識(shí)活動(dòng)的機(jī)制建設(shè)，如知識(shí)庫(kù)的內(nèi)容建設(shè)，信息技術(shù)的綜合利用，企業(yè)文化和知識(shí)激勵(lì)制度建設(shè)，知識(shí)管理團(tuán)隊(duì)的建設(shè)。
5. execution mechanism of system was given on this paper as well as the particular description and analysis of the key techniques of the knowledge repository such as structure model, relative knowledge acquiring, and reasoning course
   重點(diǎn)對(duì)該知識(shí)庫(kù)的結(jié)構(gòu)模式，相關(guān)知識(shí)獲取、以及推理過(guò)程等關(guān)鍵技術(shù)問(wèn)題進(jìn)行了描述和分析。
6. It's difficult to find knowledge repository in a sentence. 用knowledge repository造句挺難的
7. we also attempt to make the article knowledge extracting based on this knowledge repository . the extracted result is a set of objects . we can use it to answer some simple questions of this article
   在知識(shí)庫(kù)的基礎(chǔ)之上我們還嘗試地做了文章知識(shí)的提取，提取后的知識(shí)表示為對(duì)象集的形式，根據(jù)對(duì)象集，能夠回答出一些簡(jiǎn)單的問(wèn)題。
8. looking into the effect of the most common type of organisational knowledge management system, that is, an intranet-based knowledge repository, the paper provided insight into the level of creative performance of an individual
   藉著探討最普遍的組織性知識(shí)管理系統(tǒng)，即以?xún)?nèi)聯(lián)網(wǎng)為本的知識(shí)庫(kù)，周教授的論文深入剖析個(gè)人在創(chuàng)新表現(xiàn)方面之能力。
9. the deep knowledge repository of temperature profile is yielded based on a large number of numerical solutions of the determinant mathematical model, which increases the " extrapolative ability " and " reliability "
   從基于過(guò)程機(jī)理模型的數(shù)值計(jì)算結(jié)果出發(fā)，結(jié)合中試裝置的實(shí)時(shí)操作數(shù)據(jù)建立了擬定態(tài)床層溫度的人工神經(jīng)元網(wǎng)絡(luò)深層知識(shí)庫(kù)，用于增強(qiáng)神經(jīng)網(wǎng)絡(luò)模型的“外推能力”和“可信度”。
10. the whole system includes five parts, designing and calculating subsystem, graph managing subsystem, user management subsystem, knowledge repository subsystem and the interface between designing and calculating subsystem and graph managing subsystem
    整個(gè)系統(tǒng)主要包括五個(gè)部分，即設(shè)計(jì)計(jì)算子系統(tǒng)、圖形處理子系統(tǒng)、用戶(hù)管理子系統(tǒng)、知識(shí)庫(kù)維護(hù)子系統(tǒng)以及設(shè)計(jì)計(jì)算與圖形處理的數(shù)據(jù)接口。
11. it including several knowledge repositories as well as three modules of web pages preprocessor, rule learning and information extraction, describing the web pages by four sides : semantic content display, logic structure, rule generation and extraction results
    系統(tǒng)包括幾個(gè)知識(shí)庫(kù)以及網(wǎng)頁(yè)預(yù)處理、規(guī)則學(xué)習(xí)和信息抽取三個(gè)子模塊,分別從語(yǔ)義內(nèi)容表示、邏輯結(jié)構(gòu)、規(guī)則生成以及抽取結(jié)果四個(gè)層面對(duì)web頁(yè)面進(jìn)行描述。
12. the knowledge repository is the natur language denotation system . we use the oop programe plus database to design it . in detail, we use oop to descibe the concept sort of nature language and database to restore the relation of word and our program
    對(duì)于知識(shí)庫(kù)的設(shè)計(jì)，即后臺(tái)的語(yǔ)言知識(shí)表示系統(tǒng)，我們采用了程序表示和數(shù)據(jù)庫(kù)結(jié)合的方法，即采用面向?qū)ο蟮某绦蛟O(shè)計(jì)方法對(duì)知識(shí)的概念進(jìn)行表示，同時(shí)在數(shù)據(jù)庫(kù)中記錄詞和程序的對(duì)應(yīng)關(guān)系。
13. the subsystem consists of analyzing the formative reasons of bridge's damages and making decision in how to maintaining and consolidating . in it, the decision-making tree model and the representative knowledge repository of the methods of maintainence and consolidation are built; the fifth chapter is the application of the system . the main steps in use and the way of dealing data are expressly presented in cite of the application of tow bridges; the sixth chapter is the systemic analyses in software and the design in its framework, including the course of design, basic framework and its function; the seventh chapter is the conclusion
    這個(gè)子系統(tǒng)是整個(gè)系統(tǒng)的基礎(chǔ)；第三章是評(píng)價(jià)子系統(tǒng)，提出用以評(píng)價(jià)橋梁技術(shù)狀況三大單項(xiàng)指標(biāo)和綜合指標(biāo)，并制定了相應(yīng)的評(píng)價(jià)標(biāo)準(zhǔn)；第四章是決策系統(tǒng)，包括病害原因分析以及養(yǎng)護(hù)維修決策，建立了橋梁的決策樹(shù)模型和典型的處治對(duì)策專(zhuān)家?guī)?；第五章是橋梁維修加固計(jì)算機(jī)系統(tǒng)應(yīng)用，介紹了系統(tǒng)在實(shí)際應(yīng)用中的主要步驟及數(shù)據(jù)統(tǒng)計(jì)處理的方式，并以?xún)勺鶚驗(yàn)槔f(shuō)明系統(tǒng)的應(yīng)用過(guò)程；第六章是軟件系統(tǒng)分析及結(jié)構(gòu)設(shè)計(jì)，介紹了系統(tǒng)軟件的設(shè)計(jì)過(guò)程、基本結(jié)構(gòu)和功能；第七章是結(jié)論與展望，綜述了本文中的主要論點(diǎn)及工作成果，對(duì)存在的不足之處和今后的努力方向提出觀點(diǎn)。
14. based on the introduction to data mining, text mining andknowledge management, we divide the knowledge management into three phases, knowledge repository, knowledge sharing and knowledge discovery respectively, from the view-point of technical development . we analyse the key component of text mining, and point out that it is the main trend of intelligent information processing in the coming new century
    本文首先介紹了數(shù)據(jù)挖掘、文本挖掘和知識(shí)管理等概念，然后從技術(shù)角度出發(fā)，將知識(shí)管理劃分為知識(shí)庫(kù)、知識(shí)共享和知識(shí)發(fā)現(xiàn)三個(gè)階段，分析了作為最高階段的知識(shí)發(fā)現(xiàn)的關(guān)鍵技術(shù)和意義，最后指出在文本中進(jìn)行知識(shí)發(fā)現(xiàn)是新世紀(jì)智能信息處理的重要方向。
15. (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
    目前國(guó)內(nèi)外關(guān)于該方向的研究尚處于起步階段，有許多問(wèn)題亟待解決，主要表現(xiàn)在：在企業(yè)集成與知識(shí)管理的方法論融合方面，現(xiàn)有參考體系結(jié)構(gòu)沒(méi)有很好地反映出企業(yè)知識(shí)的層次特征及其組織、應(yīng)用方式；在企業(yè)知識(shí)的收集與應(yīng)用方面，現(xiàn)有企業(yè)建模方法在如何促進(jìn)系統(tǒng)分析設(shè)計(jì)人員與企業(yè)人員進(jìn)行友好的合作與交流和如何幫助系統(tǒng)分析設(shè)計(jì)人員利用模型知識(shí)進(jìn)行有效的定量分析這兩個(gè)問(wèn)題上存在著矛盾；在知識(shí)重用方面，缺乏面向企業(yè)模型重用的功能完備的知識(shí)庫(kù)系統(tǒng)及相應(yīng)的知識(shí)提煉和分類(lèi)檢索機(jī)制，能夠被業(yè)界廣泛接受的參考模型尚不多見(jiàn)；在建立面向企業(yè)集成的基于知識(shí)的系統(tǒng)方面，尚沒(méi)有很好地解決知識(shí)的形式化表示問(wèn)題，缺乏用于描述企業(yè)深層知識(shí)的形式化建模手段。