語義信息檢索 的英文怎麼說

中文拼音 [yǔyìxìnxījiǎnsuǒ]
語義信息檢索 英文
semantic information retrieval
  • 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...
  • 息 : Ⅰ名詞1 （呼吸時進出的氣） breath 2 （消息） news 3 （利錢; 利息） interest 4 [書面語] （子女） on...
  • 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; ...
  • 語義 : semanteme; semantics
  • 檢索 : retrieval; retrieve; search; searching
  1. Application of ontology in semantic information retrieval

    在語義信息檢索中的使用
  2. This method combines the rich output of function and the powerful semantic express ability of predicate and can be used to build precise and detailed ' information needs descriptions for workflow activities. this method can also be used as the request expression language for user query

    該方法吸收了函數的豐富輸出和謂詞的強大語義表達能力，用於為工作流活動建立準確、詳細的信息需求描述，同時也可以作為人工推動的信息檢索的需求表達語言。
  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. A concept - based approach is expected to resolve the word sense ambiguities in information retrieval and apply the semantic importance of the concepts, instead of the term frequency, to representing the contents of a document. consequently, a formalized document framework is proposed. the document framework is used to express the meaning of a document with the concepts which are expressed by high semantic importance. the framework consists of two parts : the " domain " information and the " situation background " information of a document. a document - extracting algorithm and a two - stage smoothing method are also proposed. the quantification of the similarity between the query and the document framework depends on the smoothing method. the experiments on the trec6 collection demonstrate the feasibility and effectiveness of the proposed approach in information retrieval tasks. the average recall level precision of the model using the proposed approach is about 10 ? higher than that of traditional ones

    為了獲取詞語在文章中的語義權重，解決詞語的同義、多義模糊問題，提升信息檢索的效率，提出了一種基於概念的檢索模型，模型中設計了一種形式化的文本內容表示框架，框架由2部分構成:文章的"領域"以及"情景與背景"信息，並由概念（形式化語義）加以表示.同時，提出了提取該概念框架的方法，給出了用於框架與檢索要求間匹配的兩階段平滑演算法.實驗表明，在trec6提供的小規模語料集下，採用所提出方法的信息檢索模型與傳統模型相比，平均召回準確率提升了約10 ? ，效果顯著，充分說明了基於本文描述方法構建的、以概念作為處理中介的信息檢索系統的有效性和可行性
  5. The result of experimentation proves that this retrieval framework makes semantic of resources sufficiently emerged and the good feasibility of search strategy

    實驗結果證明了該框架下信息資源的語義信息得到充分的體現以及語義檢索策略的可行性。
  6. The traditional information search technology is not able to satisfy the users ' more demand for effective getting the information they really need, for the information lacks the semantic understood by the machines

    摘要在傳統信息檢索方式下，由於信息資源缺少統一的語義描述，使得用戶難以查到與其所需的相關資源。
  7. 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的效果。
  8. 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並用於改進信息檢索系統效果的方法.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於餘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的效果.進一步給出了對基於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典餘弦向量測度方法的比較結果
  9. 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。
  10. This framework will solve the problem of semantic description of web resources and make computer easy to identify synonyms or relative retrieval

    該框架旨在實現對信息資源的語義描述，賦予信息資源足夠的語義信息，以解決當前文獻檢索系統中同義詞難以識別、相關查找困難等問題。
  11. Very large data bases, santiago de chile, chile, september 1994, pp. 85 - 95. 19 bernstein p a, goodman n et al. query processing in a system for distributed database sdd - 1

    接著介紹了包括語義瀏覽器可視化語義映射與注冊以及查詢重寫與分配等一組支持數據庫集成和語義信息檢索的工具。
  12. This thesis analyses the existing concept - based retrieval systems, based on this introduction, and puts forward a concept retrieval system based on synonyms recognition. automatic recognition of synonyms plays an important role in concept - based information retrieval. based on the analyses of the synonyms recognition, we use the similarity degree among the words to recognize synonyms, and mining a lot of multiple synonyms

    同義詞的自動發現和識別在基於概念的信息檢索領域有著重要的研究意義和應用價值，本文對國內和國外同義詞識別演算法進行研究和分析的基礎上，對基於語義體系的同義詞識別演算法，即基於《同義詞詞林》的同義詞識別演算法和基於《知網》的同義詞識別演算法進行了深入的研究，利用詞匯間的語義相似度度量來進行同義詞識別，挖掘出大量的復合詞形的同義詞。
  13. Comparing word sense based language model to other language models, the experiments based on the corpus of trec shows that wslm method has a better performance than the traditional td - idf method. if a more powerful word sense disambiguation tool is used, the result could be improved. in the retrieval results re - ranking part, we use a combination method which combines the retrieval results of different system by linear interpolation

    在基於詞義語言模型的信息檢索研究中，介紹了同義詞詞典的詞義表示方法，在實驗中使用trec語料把基於詞義的語言模型並與其他語言模型進行了比較，實驗表明，基於詞義的語言模型方法要好於傳統的td - idf方法，如果有更加精準的詞義消歧工具，實驗結果還會有進一步提高。
  14. Moreover, the parallel corpus is valuable in machine translation, bilingual dictionary compilation, word sense disambiguation and cross - lingual information retrieval

    除機器翻譯方面的應用之外，平行語料庫的建設對于雙語詞典編纂、詞義消岐和跨語言信息檢索也具有重要價值。
  15. We have done a lot of research on the semantic web and rdf inference mechanism and proposed a information retrieval framework based on rdf inference mechanism

    本文通過對語義萬維網結構的分析以及rdf推理技術的研究，提出了一種基於rdf推理機制的信息檢索框架。
  16. Part - of - speech tagging is a fundamental theme in natural language processing. it is significant to the tagging of chinese corpus - based, machine translation and information indexing of large scale text

    詞性標注是自然語言處理中的一項基礎性課題，詞性標注的正誤對漢語語料庫標注、機器翻譯和大規模文本的信息檢索等都有重要的意義。
  17. This paper embarks on from rationalism natural language processing and proposes the method of expressing concept using the dynamic attribute set according to the theory of conceptual dependency and complex attribute set. then the paper briefly analyzes the process of constructing the dynamic attribute set via unification, proposes the matching theory that conceptual attribute set can be applied to information retrieval, and basically discusses the realization of information retrieval based on this theory. finally the paper concludes that the necessary and sufficient condition that a document matches a query is that the document must contain all the conceptual bases that appear in the query and be consistent with the relationship among conceptual bases in query

    本論文從理性主義自然語言處理出發，根據概念依存理論和復雜特徵集提出了概念的動態特徵集表示方法，簡單的分析了利用合一運算構建動態特徵徵集的過程，提出了一種將概念特徵集應用於信息檢索的匹配理論，初步探討了基於該理論的信息檢索的實現，通過匹配過程的深入分析得出文檔與查詢語句相匹配的充要條件是文檔必須蘊含查詢語句所包含所有概念基並且必須與查詢語句中的概念基之間關聯關系相匹配的結論。
  18. Lsi comes from the field of information retrieval. it transforms the original vector space to abstract k - dimension semantic space. so the huge dimensions of the original vector space are reduced greatly, also the training speed and system performance are improved

    系統中引入了信息檢索中的常用技術? ?潛在語義索引，把原始向量空間轉換到抽象的k維語義空間，實現原始向量空間的降維，提高網路訓練速度和性能。
  19. In the short time relevance feedback session, the images are clustered to catch the semantic requirement using the user ’ s relevance feedback information. a multi - layer retrieval algorithm is also proposed to learn the hidden semantic information

    而在用戶的短期反饋中，我們利用用戶給出的反饋信息在語義網路中聚類，快速捕獲用戶在語義上的檢索企圖。
  20. The current information retrieval technologys just offer keywords - based searching, but ignore the semantic content of the keywords itself. they still have many limits and their capabilities need to be enhanced

    而現有的信息檢索技術卻存在很大的局限性，它僅提供了基於關鍵字的檢索，而忽略了關鍵字本身所含的語義內容，無法滿足用戶極具個性化的查詢需求。
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