概念檢索 的英文怎麼說

中文拼音 [gàiniànjiǎnsuǒ]
概念檢索 英文
conceptual retrieval
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 念 : Ⅰ動詞1 （看著文字發出聲音; 讀） read aloud 2 （上學） study; attend school 3 （想念; 考慮） think...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 索 : Ⅰ名詞1 （大繩子; 大鏈子） a large rope 2 （姓氏） a surname Ⅱ動詞1 （搜尋; 尋找） search 2 （要; ...
  • 概念 : concept; conception; notion; idea
  • 檢索 : retrieval; retrieve; search; searching
  1. In order to improve the existing methodology of carpool information retrieval, on the basis of the region to region algorithm and by the use of the graph theory, an algorithm based on traffic network and its complexity analysis were presented

    低效率的信息交流方式制約了合乘出行方式的發展，針對現有合乘信息檢索方式的不足，在區域區域匹配演算法的基礎上，引入圖的概念，提出了一個基於交通路網的路徑匹配演算法，並給出了演算法復雜度分析。
  2. The first two methods are very user - friendly for users of all english levels. the root analogy method groups the metaphors according to metaphorical patterns which, on the lexicographical evidence, are important to the cognition of english speakers

    首兩種檢索方法簡單易用，適合任何英語水平人士使用而基本類比搜尋則將隱喻以概念分類，有助並非以英語為母語的使用者對該等辭匯在層次上的概念加深認識，使其更能有效吸收英語辭匯。
  3. We adopt local context analysis to extract characteristic words from the documents retrieved by a user query, then apply subsumption approach and resemble approach in discovering terms relationships. the dynamic knowledge is composed of these extracted terms and term relationships, as well as user ' s feedback information. dors expands user ' s query according to the dynamic kno wledge

    我們採用局部上下文分析法從檢索結果中提取與查詢相關的特徵詞，然後採用包含方法和相似方法判定這些特徵詞之間的相關關系，並利用所提取的概念與概念之間的關系以及用戶的反饋信息動態地構造和更新知識庫。
  4. 3. the concept retrieval method based on unionization has been put forward and studied. xmarc theme classification has been researched and designed by the theme category index

    3 .提出了xmarc主題分類與主題詞族的，體化概念檢索方法，研究了抽取主題范疇模式以實現主題分類檢索，通過語義知診沐
  5. Interface pointer to the connectable object that conceptually owns this connection point

    檢索指向在概念上擁有此連接點的可連接對象的
  6. The validation showed that fors had already possessed some functions of reasoning query, removing the divergent " understanding " mislead by literal chinese words looked same like each other, giving " true " or " false " about the simple questions

    通過驗證，表明該系統初步實現了推理檢索、排除歧義、判斷是非和概念檢查與糾錯等智能檢索功能，展示了本體檢索系統所具有的特點與優勢。
  7. The research of this paper is spread out mainly around 5 aspects : ( 1 ) the description of xmarc information theory system based on xml under network environment ; ( 2 ) the advanced design of field xmarc metadata ; ( 3 ) the foundation of k - s - c special knowledge relation by the identification " keyword + subject + category " ; ( 4 ) the establishment of xmarc theme knowledge automatic indexing and its algorithms ; ( 5 ) the research on knowledge processing method of concept retrieval and the theme classification based on xmarc

    本文主要的工作是圍繞五個方面展開的：建立網路環境下基於xml的xmarc信息描述理論體系，比較設計領域的xmarc元數據，構建以「關鍵詞+主題詞+范疇號」標識的知識關系k - s - c （ keyword - subject - category ） ，建立xmarc主題知識的標引方摘要法及其演算法，提出xmarc主題知識的分類與詞句概念檢索方法。
  8. It is the inevitable tendency of modern development in present libraries, archives and information centers. studying and developing theme knowledge is the one of direction and necessity of information retrieval software or internet search engine. it will be used to realize the concept retrieval by classification and the knowledge conversion of the morpheme

    以主題標引為基礎的主題檢索是當今圖書館、情報和檔案部門現代化發展的必然趨勢，研究、使用主題知識並實現自適應分類和基於語義知識轉換的概念檢索，是提高目前網上信息檢索軟體或搜索引擎質量的關鍵內容。
  9. Semantic network based concept retrieval

    基於語義網路的概念檢索研究與實現
  10. The fourth part introduces the main technology that is needed in the design of the personalized search engine system. the technology includes intelligent agent, conception retrieval technology, user interests digging technology, web mining, information push technology and xml

    第四部分介紹了實現個性化搜索引擎系統所需要的主要技術，包括智能代理agent技術、概念檢索技術、用戶興趣挖掘技術、網路信息挖掘技術、信息推送技術和xml技術。
  11. After analyzing the principle of keywords and concept retrieval, a new vector space model named sc - vsm based on the semantic concept retrieval was proposed

    摘要對關鍵詞和概念檢索的原理進行分析后，提出了一種基於語義概念檢索的向量空間模型以及該模型與關鍵詞檢索結合的檢索方法。
  12. Experimental results show that the sc - vsm is superior to the vsm, the combinative approach can not only reserve the advantages of keywords retrieval and concept retrieval, but also compensate for their shortcomings

    實驗結果表明，語義概念檢索的向量空間模型的性能優于關鍵詞檢索的向量空間模型；結合檢索方法既能保留關鍵詞檢索和概念檢索的優點，也能彌補各自的不足。
  13. Since the concept - based retrieval is one of the most important ways of intellectualized information retrieval

    概念檢索是實現智能信息檢索的重要方式之一。
  14. Therefore, the concept - based retrieval is becoming one of the most important ways of intellectualized information retrieval

    概念檢索是實現智能信息檢索的重要方式之一。
  15. The theory and practice of wed concept retrieval

    網路概念檢索的理論與實踐
  16. The research of chinese search engine based on concept retrieval

    基於概念檢索的中文搜索引擎研究
  17. These methods have raised the quality of field theme information retrieval. major work as above has been tested and verified by way of some experiments

    詞索分析轉換實現了主題概念檢索，從而提高了領域主題檢索的質量。
  18. Firstly, this paper briefly introduces the development regarding the concept - based retrieval and the technology of mining association rules, based on this introduction, this paper analyses the existing problems about the concept - based retrieval

    本文首先介紹了概念檢索和關聯規則挖掘的發展概況和基本概念，在此基礎上，分析了概念檢索中存在的問題。
  19. Finally, on the basis of the mining association rule algorithm, coupled with the newly - raised algorithm and technology, a prototype is designed, which is a chinese concept - based information retrieval based mining association rules

    本文在已有關聯規則挖掘演算法的基礎上，結合所提出的改進演算法及技術，最後實現了一個基於關聯規則挖掘的中文概念檢索系統原型。
  20. While some characteristics of intelligence retrieval system are also analyzed, which it not only can comprehend the information, but also the users, it is pointed out that the retrieval method is characterized not by simple string match, but concept retrieval as its core

    並分析了智能檢索系統的一些特徵，系統要能理解信息，也要能了解用戶，指出了智能信息檢索以概念檢索為主，而不是簡單的串匹配。
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