semantic technique 中文意思是什麼

semantic technique 解釋
語義法
  • semantic : adj. 語義（學）的。
  • technique : n. 1. （專門）技術；（藝術上的）技巧，技能。2. 手法〈如畫法，演奏法等〉。3. 方法。
  1. According to the program structure of ansi c, some syntax - tree - nodes are designed in front - end, including function, block, data structure, type, expression, identifier and so on. syntax tree is divided into three levels, namely program level, function level and block level, which are useful for analysis of syntax and semantic in compiler as well as transferring syntax tree into rtl. retargetable compiler mainly includes intermediate representation, machine description and interface technique between compiler and machine description

    編譯前端的實現技術包括詞法分析、語法語義分析和中間代碼生成技術等，針對ansic的程序結構，分別設計了函數、塊、數據結構、類型、表達式、標識符等語法樹結點，並將語法樹分成編譯層次、函數聲明和塊三個不同層次，使語法樹具有清晰的層次結構，有利於編譯程序的語法和語義分析，以及從語法樹到rtl中間表示的轉換。
  2. The semantic information model of the information home system is established and the conception of home information markup language - html is also proposed, key technique issues are lucubrated

    建立起家居信息系統的語義信息模型，提出了家庭信息標識語言- himl的概念，對其中關鍵技術作了深入研究。
  3. Semantic web is a new technique to be put forward to solve a series of technical problems in information description, expression and searching

    摘要語義網是近年來提出的用於解決萬維網在信息描述、信息表達和信息檢索等方面一系列問題的新技術。
  4. Figures describing the functional activity are named as activity figures. the activities are shown by cases, and affairs dealt with by the system are shown by arrows. idef modeling method, a model technique for semantic data, is used to describing the relation between information and forming cims information model

    描述功能活動的圖形稱為活動圖形，盒子表示活動，箭頭表示由系統處理的事件； idef _ 1建模方法是一種語義數據模型化技術，用以描述信息關系，建立cims信息模型。
  5. The idea of semantic web mining is to exploit the newly - emerged semantic web technique to improve the web mining. on the other hand, web mining can also be very helpful for the creation of semantic web

    基於語義網路的web挖掘旨在利用web上新的語義結構來改進web挖掘，反之也可以利用web挖掘來幫助構建語義web 。
  6. As a mean to map ontology concepts, a similarity technique is employed. especially a context dependent concept mapping is tackled, which needscontextual information from knowledge taxonomy. context - based semantic similarity differs from the real worldsimilarity in that it requires contextual information to calculatesimilarity. the notion of semantic coupling is introduced to derivesimilarity for a taxonomy - based system. the semantic coupling shows thedegree of semantic cohesiveness for a group of concepts toward a givencontext

    在本體的映射中，確保概念的一致性是至關重要的從總體上看，概念一致性問題可劃分成三類主要問題，即同義概念沖突synonymous concept conflict問題多義概念沖突polysemous concept conflict問題與領域相關概念沖突domain - dependent concept conflict問題。
  7. This paper discusses the existent typical ranking technologies of term frequency count and hyperlink analysis, in virtue of vector space model, the author proposes a new ranking technique, document similarity ranking, with a basis on similarity of concept - semantic query term

    對現存典型的詞頻統計排序技術和超鏈分析排序技術進行了分析，並藉助向量空間模型，提出了一種基於概念語義的查詢詞-文檔相似度排序方法。
  8. Secondly, in order to solve the problem, the article introduces semantic analysis technique, which is a kind of language processing technique in mt and provides semantic information for translation to increase the rate of translation. then logic semantics is presented in detail, which is a kind of semantic analysis technique. thirdly, applying logic semantics to witt, this thesis constructs the logic semantic framework of telegraph to obtain the logic semantics of telegraphs

    針對這個問題，採用機器翻譯中合適的語言處理方法?語義分析技術，利用語義信息提高翻譯率，接著介紹了語義分析技術，詳述了邏輯語義，並用它建立了水情電報的邏輯語義模型，用來為報文作語義分析，從而結合語義信息實現了對幾種類型錯報的翻譯。
  9. Document clustering techniques have been received more and more attentions as a fundamental and enabling tool for efficient organization, navigation, retrieval, and summarization of huge volumes of text documents. the aim of document clustering technique is to cluster different documents into different semantic classes based on their content in an unsupervised manner

    文本聚類作為一種對大規模文本信息進行有效組織、導航、檢索和概括匯總的基礎、關鍵技術而日益受到關注，其主要目的是以無監督指導的方式根據文本的內在關系將內容近似的文本分成不同的類。
  10. We explored the specific machine learning technique, i. e. bayesian technique in this paper, in the hope of automatically creating such kind of metadata from training data. we assigned wsdl documents to different categories using bayesian latent semantic model. with the frame of blsm, our system classified wsdl documents only by a few of latent class variables and no labeled data

    本論文中基於貝葉斯技術的web服務分類演算法的主要思想是通過引入貝葉斯潛在語義模型，首先將含有潛在類別主題變量的wsdl文檔分配到相應的類主題中；接著利用樸素貝葉斯模型，結合前一階段的知識，完成對未含類主題變量的文檔作標注。
  11. In this paper, a lot research work has been done around three points : how to abstract and index low - level feature of images, how to retrieval images in semantic level, and how to fill the semantic gap by relevant feedback technique

    前者研究的是根據自動獲取的圖像低層特徵，從圖像數據庫中檢索出相關圖像；而後者研究的是如何從多種渠道獲取圖像語義信息，並根據語義檢索相關圖像。
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