檢索同義詞 的英文怎麼說
中文拼音 [jiǎnsuǒtóngyìcí]
檢索同義詞
英文
searchonym- 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; ...
- 義 : Ⅰ名詞1 (正義) justice; righteousness 2 (情誼) human ties; relationship 3 (意義) meaning; si...
- 詞 : 名詞1 (說話或詩歌、文章、戲劇中的語句) speech; statement; lines of play 2 (一種韻文形式 起於唐...
- 檢索 : retrieval; retrieve; search; searching
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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。We have developed a semantic retrieval system on computer network field and expected to provide a intelligent learning resource retrival service. this system tries to solve problems that ordinary systems cannot do, such as identify synonyms, relative retrieval
該系統以計算機網路領域的知識和學習資源為檢索對象,嘗試解決查詢中同義詞無法識別,相關信息查找困難等問題。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。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。The system establish ontology describing the subject knowledge structrue and can making semantic retrieving on specility literatures such as identification synonyms, relative retrieving etc
該系統建立了描述課程知識結構的本體,並能對各知識點對應的專業文獻進行同義詞分析、知識點的相互關聯等語義檢索。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。Firstly, this thesis summarizes the correlation research of chinese search engine, based on this introduction, this thesis analyses the intellectualized information retrieval, namely, the characteristic of concept - based retrieval system. we use the synonyms dictionary as the semantic system to realize synonyms expanding retrieval
本文研究了搜索引擎特別是中文搜索引擎的相關現狀,以及下一代智能搜索引擎即基於概念的檢索系統的功能特點,並利用《同義詞詞林》作為語義體系實現了基於《同義詞詞林》的同義詞擴展檢索。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。分享友人