knowledge n. 1.知識;學識,學問。 2.了解,理解;消息。 3.認識。 4.〔古語〕學科。 5.〔古語〕性關系。 book knowledge書本知識。 K- is power. 〔諺語〕知識就是力量。 practical knowledge實際的知識。 secondhand knowledge第二手知識,傳授來的知識。 working knowledge of French 法語知識學到能應用的地步。 I have no knowledge of London. 我對倫敦毫無所知。 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,萬眾歡騰。 perceptual knowledge感性認識。 logical [rational] knowledge理性認識。 the theory of knowledge【哲學】認識論。 branches of knowledge學科。 carnal knowledge性經(jīng)驗;【法律】性關系。 come to sb.'s knowledge被某人知道。 common [general] knowledge眾所周知,常識。 grow out of (sb.'s) knowledge被忘掉了。 have some [a general, a thorough] knowledge of 懂得一點,懂得一個大概,精通。 not to my knowledge我知道并不是那樣。 out of all knowledge(變得)認不出來,無法辨認。 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〕知識太多老得快。 without sb.'s knowledge 不通知某人,背著某人。
You will also have to have the linguistics and some semantic knowledge 你也將會必須有語言學和一些與語意有關的知識。
First we put forward the general idea about this method and give a brief introduce to its semantic knowledge resource - the hownet dictionary 本文首先提出了這種方法的總體思路,并對其語義知識資源《知網(wǎng)》作了簡要的介紹。
In cfm , there exists the semantic knowledge about chinese clause and it includes the semantic modes which are the basic modes used to represent the human ' s experience , and the elementary concepts which are the components of semantic mode Cfm中擁有漢語小句級的語義知識,它包含了小句的“語義模式”以及組成“語義模式”的“基元概念” 。
The ontology is domain specific and includes a list of keywords organized by degree of importance to the categories of the ontology , and by means of semantic knowledge . the ontology can improve the effects of document similarity measure and feedback of information retrieval systems 該本體面向特定領域,將關鍵詞以不同權值對應于各分類類目,通過其語義知識來改進文本相似性測度以及信息檢索系統(tǒng)的效果。
A method that combines category - based and keyword - based concepts for a better information retrieval system is introduced . to improve document clustering , a document similarity measure based on cosine vector and keywords frequency in documents is proposed , but also with an input ontology . the ontology is domain specific and includes a list of keywords organized by degree of importance to the categories of the ontology , and by means of semantic knowledge , the ontology can improve the effects of document similarity measure and feedback of information retrieval systems . two approaches to evaluating the performance of this similarity measure and the comparison with standard cosine vector similarity measure are also described 介紹了一種綜合各層級分類類目和對應關鍵詞來構造概念體系并用于改進信息檢索系統(tǒng)效果的方法.為了改進文本聚類的效果,提出了將領域知識本體和文本關鍵詞詞頻相結合的基于余弦向量的文本相似性測度方法.該本體面向特定領域,將關鍵詞以不同權值對應于各分類類目,通過其語義知識來改進文本相似性測度以及信息檢索系統(tǒng)的效果.進一步給出了對基于本體的相似性測度方法進行效果評價的2種策略以及該方法與經(jīng)典余弦向量測度方法的比較結果
In this paper , we elaborate an intelligent search agent working on the internet , introduce the conception of ontology into the agent , make use of ability of ontology to describe semantic knowledge , set up a simple model of information agent using ontology to standardize the user ' s requests , analyze the results returned by the search agent and study the user ' s interests in order to let the information agent to retrieve information for users without requests 本文對因特網(wǎng)上的智能搜索agent作了比較深入的研究,將本體引入到智能信息agent中來,利用本體對語義知識描述的特長,在某個領域內(nèi)建立一個簡單的本體實例,用來規(guī)范本體的查詢請求、分析處理搜索代理返回的搜索結果、學習用戶的興趣愛好,使其能自主的為用戶查找用戶感興趣的信息。