knowledge n. 1.知識(shí);學(xué)識(shí),學(xué)問(wèn)。 2.了解,理解;消息。 3.認(rèn)識(shí)。 4.〔古語(yǔ)〕學(xué)科。 5.〔古語(yǔ)〕性關(guān)系。 book knowledge書(shū)本知識(shí)。 K- is power. 〔諺語(yǔ)〕知識(shí)就是力量。 practical knowledge實(shí)際的知識(shí)。 secondhand knowledge第二手知識(shí),傳授來(lái)的知識(shí)。 working knowledge of French 法語(yǔ)知識(shí)學(xué)到能應(yīng)用的地步。 I have no knowledge of London. 我對(duì)倫敦毫無(wú)所知。 It is within your knowledge that ... 這是你所知道的。 The knowledge of our victory caused great joy. 我們獲得勝利的消息傳來(lái),萬(wàn)眾歡騰。 perceptual knowledge感性認(rèn)識(shí)。 logical [rational] knowledge理性認(rèn)識(shí)。 the theory of knowledge【哲學(xué)】認(rèn)識(shí)論。 branches of knowledge學(xué)科。 carnal knowledge性經(jīng)驗(yàn);【法律】性關(guān)系。 come to sb.'s knowledge被某人知道。 common [general] knowledge眾所周知,常識(shí)。 grow out of (sb.'s) knowledge被忘掉了。 have some [a general, a thorough] knowledge of 懂得一點(diǎn),懂得一個(gè)大概,精通。 not to my knowledge我知道并不是那樣。 out of all knowledge(變得)認(rèn)不出來(lái),無(wú)法辨認(rèn)。 to my knowledge據(jù)我知道。 to sb.'s certain knowledge據(jù)某人確知。 to the best of my knowledge據(jù)我所知,就我所知而論(=so far as I know)。 Too much knowledge makes the head bald. 〔諺語(yǔ)〕知識(shí)太多老得快。 without sb.'s knowledge 不通知某人,背著某人。
Knowledge process of consulting industry from the perspective of knowledge intensive business service 知識(shí)密集型服務(wù)業(yè)視角下咨詢(xún)業(yè)的知識(shí)過(guò)程
A typed category theory is proposed for the abstract description of knowledge and knowledge processing 為了兼顧知識(shí)的語(yǔ)義,我們引進(jìn)類(lèi)型的概念,提出帶類(lèi)型范疇論。
Practice indicates that decision support systems can supply more effective support when decision support systems have abundant knowledge and strong knowledge process ability 實(shí)踐表明,只有當(dāng)決策支持系統(tǒng)具有較豐富的知識(shí)和較強(qiáng)的知識(shí)處理能力時(shí),才能向決策者提供更為有效的決策支持。
Based on this , we construct a tri - dimensional strategic model framework vision - knowledge process - knowledge worker , and the knowledge avantage is the core concept of the model 同時(shí),由于核心競(jìng)爭(zhēng)力及其一些相近概念有其局限性,筆者首次定義了一種能重新解釋這個(gè)問(wèn)題的知識(shí)優(yōu)勢(shì)力概念。
As to the product design , from the view of knowledge processing , the methods of intelligent design are researched ; the main technologies and their implementation are also researched ; 2 在產(chǎn)品設(shè)計(jì)中從知識(shí)處理的角度研究了智能化設(shè)計(jì)的方法,進(jìn)而研究了智能化設(shè)計(jì)中的主要技術(shù)及其實(shí)現(xiàn); 2
In the paper the principle of on - line automatic identification system of plant condition is studied appling the self - organization network and topography search method in knowledge processing 摘要本文應(yīng)用自組織特徵映照模型,以知識(shí)處理中的地勢(shì)搜索原理為出發(fā)點(diǎn),研究并提出了在線(xiàn)式設(shè)備狀態(tài)自動(dòng)識(shí)別系統(tǒng)的工作原理。
The formalization of aesthetics feeling , value direction is also adapt to knowledge process of product design which is a field full of fuzzy , uncertain , dynamic and changing information . the paper also builds a web - based opening learning environment 并構(gòu)建了基于internet的開(kāi)放學(xué)習(xí)環(huán)境,研究了人腦模型與學(xué)習(xí)環(huán)境融合、設(shè)計(jì)師與學(xué)習(xí)環(huán)境融合的人機(jī)伴隨工作模式。
This thesis in the background of science literature information process , investigates the text categorization techniques based - on fuzzy knowledge process both in theory and application deeply , and the main works is as follows : 1 本文以科技文獻(xiàn)信息處理為背景,從理論和應(yīng)用的角度對(duì)基于模糊知識(shí)處理的文本分類(lèi)技術(shù)進(jìn)行了較為深入的研究,主要工作總結(jié)如下: 1
Also , tckm will support the development and execution of km systems with high performance from two dimensions : constructing shared understanding foundation , promoting the open evolution of om ( organization memory ) , and in two levels : knowledge process and knowledge meta - process 并從兩維:構(gòu)建共享的理解基礎(chǔ)、促進(jìn)om (組織記憶)的開(kāi)放性進(jìn)化;分二個(gè)層次:知識(shí)過(guò)程和知識(shí)元過(guò)程,支持高性能km系統(tǒng)的開(kāi)發(fā)和運(yùn)行。
Many experiences show that lots of practical classification cannot give the precise result that one object belong to one class , while only give the probability of one object belong to one class . so we can apply the fuzzy knowledge process technology to the field of text categorization , and we can get more precise classification results by using appropriate fuzzy 并且實(shí)際經(jīng)驗(yàn)告訴我們,很多實(shí)際分類(lèi)問(wèn)題往往不好精確地確定某個(gè)對(duì)象屬于某個(gè)類(lèi),而只能給出某個(gè)對(duì)象屬于某個(gè)類(lèi)的可能性有多大,因此將模糊知識(shí)處理的理論技術(shù)應(yīng)用到文本分類(lèi)的領(lǐng)域中,利用適當(dāng)?shù)哪:炊梢赃_(dá)到更精確的分類(lèi)結(jié)果。