語義網路表示 的英文怎麼說

中文拼音 [yǔyìwǎnglùbiǎoshì]
語義網路表示 英文
semantic network representation
  • 語 : 語動詞[書面語] （告訴） tell; inform
  • 義 : Ⅰ名詞1 （正義） justice; righteousness 2 （情誼） human ties; relationship 3 （意義） meaning; si...
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 表 : Ⅰ名詞1 （外面;外表） outside; surface; external 2 （中表親戚） the relationship between the child...
  • 示 : Ⅰ動詞（擺出或指出使人知道; 表明） show; indicate; signify; instruct; notify Ⅱ名詞1 [書面語] （給...
  • 語義 : semanteme; semantics
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  • 表示 : show; express; mean; indicate; expression; presentation; signifying; remark; representation
  1. The other parts is the study of the individuated intelligent agent based of concept semantic network built in the one parts, the agent build a individuated model on the frame of concept semantic network by analyzing the student " feedback information, and the line of the concept represent the correlation of the concept

    第二部分是對個性化智能代理的研究，這一部分的研究是以第一部分研究為基礎的，即在概念語義網路的基礎上構建一個智能代理系統。該系統通過分析學生的反饋信息，在概念語義網的結構上建立學生的個人興趣模型，並通過對概念之間的連線表示概念的關聯程度。
  2. Chapter two puts forward the general idea about the lexical selection model and then gives a brief introduce to the interlingua and hownet, which will be used in succedent discussions. chapter three introduces the construction of example base and semantics pattern base, which are the main data resources of the lection selection model

    第二章是系統結構和基礎知識，提出了選詞模型的總體思路，簡要介紹其系統結構；並對中間語言表示方法及基於知網的語義計算模型等有關基礎知識進行了介紹。
  3. Semantic nets ( sn ) has powerful capability of knowledge representation ( kr ), but there is no accepted formal description architecture of it38 - 39. this problem leads to different meanings of it and uncertainty of inference process

    語義網路有很強的表達知識的能力，但它沒有公認的形式化表示體系，存在歧義性和推理不確定性的問題。
  4. By the browser / web server / database structure and the technology of asp. net and xml, we achieve the expert system running on the network, extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system, extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets, analyze the generalized possibility interval sets, and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining, researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine, make the upgrade simple and maintenance convenient. in the last, we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e

    Net和xml技術，實現了網路化的專家系統，同時擴大了專家系統的應用范圍，提高了系統的後向兼容性；對專家系統中的知識表示技術作了深入探討，在傳統的基於規則的知識表示方法的基礎上，提出了基於規則擴展的知識表示方法，並較好地將其應用到本系統中；引入了模糊集合，分析並推導了廣義可能區間集，將其應用於模糊知識的表示，將語言變量和模糊集合結合起來；提出對系統採用互動式知識獲取途徑、雙向推理控制策略，對不精確推理和不確定性推理的傳播演算法作了一定的研究，成功地將其應用到馬鈴薯專家系統的構建之中；採用知識庫和推理機相分離的方法，使得系統升級簡單易行。
  5. Then discusses common knowledge representation method such as predicate logic, semantic network, production rule, frame etc. and probes into the application of predicate logic in epr system

    然後，較詳細地討論了謂詞邏輯、語義網路、產生式規則和框架等常用的知識表示方法，重點研究了謂詞邏輯知識表示技術在電子病歷系統中應用問題。
  6. ( 5 ) user management system is built by asp technology on the server - side. user ' s register and logging is accepted and the user permission for different group is designed ( program files referred to appendix 1 ) ; the connection between web server and plastic die material database system realized by ado, odbc technology, which will guarantee the mutual information transportation between the database system and different terminals ; ( 6 ) further study of expert system is discussed and the implementing reasoning base on plastics mould material selection neural networks is put forward and key problems is also discussed. according to the requirements of sustainability, extended knowledge frame of mould selection and track algorithm meeting the requirements of dynamics, history, structuralism, illegibility, unintegrity and uncertainty are verified and corresponding examples are also put forward

    （ 3 ）通過ado 、 odbc技術實現web服務器與塑料模具材料數據庫系統的連接，從而保證了塑料模具材料數據庫系統和各終端之間信息的雙向傳遞； （ 4 ）在服務器端利用asp技術建立塑料模具材料遠程選擇優化專家系統交互界面，通過標準數據庫查詢語言，客戶能對數據庫中的塑料模具材料信息進行查詢（程序文件列表參見附錄1 ） ；廣東丁業人學1學m學位淪義門）在服務器端利用sp技術建立用戶管理系統，接受用戶的注冊、登錄消求，為不同等級的用戶設定相應的權限（程序文件列表參見附錄1 ） ； （ 6 ）討論了進一步完善該專家系統所需做的工作，提出塑料模具選材神經網路批理的實現方案，並對其中的關鍵問題進行了討論：按照可持續發展的要求，對擴展的模具選材知識框架、滿足動忐性、歷史性、結構性、模糊性、個大根性、不硯定性等需求的跟蹤演算法進行了論證並給出計算示例。
  7. These steps are feature extracti on, im age segm entation, region descriptions, im age m a tc hing, sem a ntic networks, and re levance feedback

    這6個步驟分別是：特徵提取，圖像分割，區域表示，圖像匹配，語義網路，相關反饋。
  8. Because chinese context is dynamic, the representation of chinese context knowledge in ccm is a kind of structural semantic network, called concept information unit relation network ( ciurn ). moreover, the acquirement and management of chinese context knowledge are also dynamic process in ccm

    依據上下文語境的動態變化性， ccm採用一種結構化的語義網路表示上下文語境知識，稱為概念信息體關聯網路ciurn （ conceptinformationunitrelationnetwork ， ciurn ） ，並建立了動態獲取上下文語境知識以及動態地管理和維護上下文語境知識的機制。
  9. Hai zhuge and xiang - feng luo china knowledge grid research group, key lab of intelligent information processing institute of computing technology, chinese academy of sciences, beijing 100080, p. r. china

    具有語義的知識表示與推理是下一代網際網路語義網格知識網格以及語義web所面臨的關鍵技術問題。
  10. This thesis concentrates its research mainly on the method of rule learning base on bp neural network which definition of rules are combined the web pages ’ features of path, left / right boundary and semantic

    本文的工作重點是基於bp神經網路的規則學習方法，規則的表示結合網頁的路徑特徵、左右邊界特徵和語義特徵來定義。
  11. This paper has introduced the basic conception of the expert system briefly at first, then analyses the traditional expert system ' s knowledge in knowledge expression, such as production, semantic network

    本論文簡要介紹了專家系統的基本概念和傳統的專家系統在知識表示語義網路、產生式等的一些基礎知識。
  12. Secondly, on researching the knowledge representation ' s status, a new knowledge representation, i. e. xml knowledge representation based on object and semantic network, is put forward

    首先，對傳統智能教學系統的系統結構進行了改進；其次，研究了知識表示的現狀，提出了基於對象和語義網路的xml知識表示方法。
  13. Bn is network structure with clarity semantics. lt exploits the structure of the domain to allow a compact representation of complex joint probability distribution. its sound probabilistic semantics, explicit encoding of relevance relationships, inference algorithms and learning algorithms that are fairly efficient and effective in pratice, and decision - making mechanism of facility, have led bn to enter the artificial intelligence ( ai ) mainstream. for the reasons that they have produced more and more practical values and economic profits in many important application fields, such as modern expert systems, diagnosis engines, decision support systems, and data mining systems, researchers from both industry and academia are thus taking them much seriously

    它具有清晰語義的網路結構；它揭示領域對象的內在結構，是復雜全概率分佈的緊湊表示方式；其堅實的理論基礎、知識結構的自然表述方式、靈活的推理能力、方便的決策機制及有效的學習能力使其成為一種主要的不確定知識的處理方法。貝葉斯網路已經在專家系統、決策支持系統、數據挖掘系統和範例推理系統等許多重要領域產生應用價值和經濟效益。
  14. The primary contributions of this thesis include : with respect to the requirements of domain knowledge modeling on the web, the author puts forwards a new method for domain ontology modeling, named domain knowledge ontology for web ( dkow ). based on the foundational theory of ontology, dkow integrates the methods of semantic network, object - oriented modeling and semantic data modeling

    Dkow方法直接建立在本體論的基本理論之上，具有樸素的知識建模思想，是一種將語義網路的知識表示與面向對象邏輯建模、面向數據的語義建模有機地結合的方法，能夠有效地對領域結構、領域中的概念、概念的性質、概念間的關系等靜態知識進行建模和推理。
  15. 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。
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