semantic structure of information 中文意思是什麼

semantic structure of information 解釋
信息的語義學結構
  • semantic : adj. 語義（學）的。
  • structure : n. 1. 構造，結構；組織；石理，石紋。2. 建造物。3. 【化學】化學結構。4. 【心理學】（直接經驗中顯現的）結構性，整體性；整體結構。adj. -d ,-less adj.
  • of : OF ＝Old French 古法語。
  • information : n. 1. 通知，通報，報告。2. 報導，消息，情報。3. 資料，知識，學識。4. 【自動化】信息，數據。5. 【法律】起訴，告發。adj. -al
  1. Firstly, it presents the storing arithmetic based on the mapping policy between xml data modal and object - oriented modal. reference to the arithmetic of extracting object - oriented database schemas from xml dtds using inheritance and other commercial tools for xml storing, it improves mapping policy from xml to object, which optimizes the new semantic classes, what ' s more, it present object clustering policy to resolve the uncertainty of xml schema and the complexity of information intergration, which simultaneously focuses on the semanteme and structure of new object classes. on the other hand, it presents method to realize exchanging from object to xml

    本文研究構造基於xml信息集成系統結構的面向對象數據庫包裝器，提出面向對象數據庫包裝器的系統結構；根據該結構提出xml的數據模式與面向對象數據庫對象數據模式的映射策略及相互存儲轉化演算法，一方面我們借鑒基於dtd模式的繼承對象映射提取演算法及各種商業工具，提出dtd簡化演算法和基於dtd簡化結構的對象圖映射演算法，優化了生成的對象類、提高了對象類的語義表達能力，也改進了對象映射提取策略；同時採用模糊聚類策略，提出對象聚類處理演算法，改善了xml語義定義的隨意性給對象類提取及信息集成帶來的復雜性；另一方面本文提出對象到xml的轉化演算法，採用系統自動定義對象到xml的轉化方法實現對象到xml的轉化處理。
  2. So, date management is improved and a lot of complex semantic information is defined availably. the objected - oriented engineering template con structs organic relation between design and manufacture, realizes opposition and consolidate of integration and separation of geometry & manufacture information. for complex object, its hierarchical structure and dynamic data structure can be expressed effectively by simple and tight - knit way

    同時結合模板的知識表達方式，定義了語義對象工程模板，在模板中將設計信息按照對象之間的關系組織起來，加強了對數據的管理，並能表達多種復雜的語義等知識信息，建立了設計和製造活動的有機聯系，實現了幾何信息和製造信息的集成和分離的對立統一，將復雜對象、層次結構及動態的數據結構用一些相對簡單且組織嚴密的方式組織起來。
  3. 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

    系統包括幾個知識庫以及網頁預處理、規則學習和信息抽取三個子模塊，分別從語義內容表示、邏輯結構、規則生成以及抽取結果四個層面對web頁面進行描述。
  4. Xml / rdf can explicitly describe the unite, structure and formalization of different sorts web information sources, and it considers the objects of web environment as < wp = 8 > resources and sets down unambiguous grammar and semantic, meanwhile it makes us research and develop new web mining technologies and use traditional mining algorithms and tools to carry out specific and multi - arrangement data mining, based on programming and structure data

    Xml / rdf能夠明確描述網上各種信息源的統一性、結構性和規范化，它把網路環境中的對象視為資源，並制定了明確的描述性語法和語義，使我們能夠在一個規劃化、結構化的統一數據層面上，研究和開發新的網路挖掘技術，同時可以運用傳統的挖掘演算法和工具對各種目標資源進行特定的多種層次的綜合數據挖掘。
  5. Nowadays, 99 % web site organize their information to web paper by html which is a semi structure format, and provides no semantic, and data organized by it can not be understand by computer, so computer can not analyze those data - in order to help people to find the information they want, some filter systems based on keywords appears. and those systems have became a indispensable part of the filter techniche. on the base of researching those systems, we provide a arithmetic based on qa

    現在， 99的web站點的格式都是採用html這種半結構化的數據格式來表示，而html標記語言缺乏對語義的支持，無法讓計算機理解信息所蘊涵的語義，從而也無法從這些數據中分析出隱含的信息。為了幫助用戶從基於html的文檔中查找有用信息，出現了很多基於關鍵詞的過濾系統，另一方面，形成了面向網際網路的過濾技術中不可或缺的一部分。
  6. How to get the structure information and content meaning, make audio frequency signal having the same semantic classes is the key of the research of audio retrieval based on content

    如何提取音頻中的結構化信息和內容語義，使得無序的音頻數據變得有序，是基於內容的音頻檢索技術能否得以實用的關鍵所在。
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