semantic information retrieval 中文意思是什麼

semantic information retrieval 解釋
語義信息檢索
  • semantic : adj. 語義（學）的。
  • 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
  • retrieval : n. （可）取回，（可）恢復，（可）挽回；（可）修補，（可）修正，（可）更正；（可）彌補，（可）補償。 beyond retrieval 不能補救的，不能挽回的。
  1. Application of ontology in semantic information retrieval

    在語義信息檢索中的使用
  2. 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
  3. 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。
  4. 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
  5. Research on semantic indexing system and semantic retrieval model for chinese medical information based on multilayer conceptual semantic network structure

    基於多層次概念語義網路結構的中文醫學信息語義標引體系和語義檢索模型研究
  6. 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。
  7. 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。
  8. Ontology - based information retrieval research in semantic web

    的信息檢索研究
  9. 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。
  10. With semantic web technologies, organizations can provide a single, unified view of data across their applications, which allows for precise retrieval of information, simplifies enterprise and soa integration, reduces data redundancy, and provides uniform semantic meaning across applications

    利用語義web技術，組織可以跨越應用程序提供單一而統一的數據視圖，這可以支持信息的精確檢索，簡化企業和soa集成，減少數據冗餘，並在應用程序之間提供一致的語義。
  11. 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。
  12. The architecture of ontology - based semantic information retrieval model

    的語義檢索模型架構
  13. 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。
  14. 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。
  15. To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query - based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. furthermore, ontology - based conceptual vector of user preference can be applied in personalized recommendation feedback

    為了提高數字圖書館信息服務的能力，描述了一個基於本體的用戶瀏覽和搜索個性化推薦系統框架.該框架將本體的優點應用於檢索周期中，包括提問相關測度、語義化的用戶興趣表達和自動更新、以及個性化的檢索結果排序等.在用戶訪問數字圖書館的交互過程中，可通過本體來構造用戶提問和文檔內容的匹配機制以實現語義化的內容檢索，並可進一步使用本體來構造用戶興趣偏好的概念向量以實現面向用戶的個性化推薦反饋
  16. 19 yu h, mine t, amamiya m. an architecture for personal semantic web information retrieval system - integrating web services and web contents. in proc

    本文詳細給出了poi定義訪問方法和其在面向交互界面的集成與協作中的應用。
  17. Li this part, the thesis first profiles semantic features of each document by employing chinese information processing technology in order to change documents into the form which can be operated with the help of mathematical methods. second, the thesis profiles each user ' s information needs by three ways : 1 ) accepting the information provided by the user himself ; 2 ) watching the user ' s retrieval action ; and 3 ) analyzing web server log. in this module, users are also classified into different categories according to their information needs

    在用戶建模中，系統從三方面獲取用戶信息需求特徵，第一，用戶主動地向系統提供需求信息；第二，系統檢測用戶檢索行為，從用戶檢索詞分析其需求；第三，系統通過分析web訪問日誌，得到用戶的興趣所在及興趣的變化狀況，並進一步利用對用戶訪問文檔內容的分析來追蹤其興趣變化，將用戶興趣同樣表示為興趣特徵向量，聚類相似用戶。
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