semantic relation 中文意思是什麼

semantic relation 解釋
語義關系
  • semantic : adj. 語義（學）的。
  • relation : n 1 說話，敘述，報告；故事。2 關系，聯系；〈pl 〉（利害）關系，交情；〈pl 〉國際關系。3 親戚關系...
  1. The research of the relation of the fok, episodic memory, semantic memory and implicit memory

    語義記憶和內隱記憶關系的研究
  2. This thesis studies the principle of ais, the types of its system structure and the key factors which affect its evolution, explains the necessity and feasibility of ais based on event approach, emphasizes how to use the entity - relation approach and the real ( r is for " resource ", e for " event ", a for " agent ", l for " location " ) semantic model to design the integrate event - driven database and expects intelligent decision support system ( idss ), the application of data warehousing and olap technology in decision support system ( dss )

    文章的研究思路是：從會計信息系統體系結構的角度，研究系統體系結構的類型及其演變的主要影響因素。論述了基於事項會計的會計信息系統的現實必要性和技術可行性；重點研究了現代信息技術環境下，基於事項會計的會計信息系統體系結構、如何運用e - r概念模型與real業務過程語義模型分析和設計集成業務數據庫、基於事項會計的會計信息系統原理和結構；並展望了數據倉庫和olap聯機分析處理技術在決策支持系統dss中的應用，即基於企業數據倉庫的智能決策支持系統（ idss ）前沿研究。
  3. In existential sentences, location and time phrase before mv or bv verb can be viewed as the subject, no matter whether it has semantic choice relation with the verb

    存現句中，不論是一價動詞前還是二價動詞前的處所和時間詞語，也不論其與動詞是否具有語義上的選擇關系，都可以看成主題。
  4. A fuzzy image data model and a concept of fuzzy space are proposed, in which model visual feature, spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval. based fuzzy space, a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image. in the thesis, a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval

    研究了模糊檢索方法和相關反饋機制在圖象檢索中的應用，提出了一種模糊圖象數據模型和模糊空間的概念，該模型將可視特徵、空間特徵、語義特徵看作超屬性，既充分利用了傳統關系數據庫的優點，同時又考慮了圖象數據以及模糊查詢的特點，文中提出的模糊空間和模糊相似性度量方法能支持基於模糊特徵的圖象查詢，較好地體現用戶圖象查詢的應用需求，文中定義的語義模板和相關反饋機制能在一定程度上表達用戶的查詢語義，提高圖象檢索的準確率和易用性。
  5. This book comprehensively systematically inspected chinese and english color word cuts minute on in the semantic field the similarities and differences, has enumerated chinese and english color word follows in the significance the characteristic extremely with the social history culture relation

    這本書全面系統地考察了漢語和英語顏色詞在語義場切分上的異同，列舉了漢語和英語顏色詞的伴隨意義上的特點極其與社會歷史文化的聯系。
  6. Many approaches developed offer approximation solutions, including principle - based, such as purely syntactic ones, semantic and pragmatic ones, and statistics - based ones. in this paper, we put forward a modal to resolve anaphora ( including empty pronoun ) based on the characteristics of chinese. in this method, we apply some corresponding rules on the sentences after their patterns distinguished in the text, then analyze the semantic relation of the components of the sentence and form a corresponding semantic network, get rid of some candidates according to the co - constrain of the nodes in that network, put every component which refers to people into forward - looking centers, ordered by their semantic role, ascertain the hierarchy of sentences, analyze the transition types resulted by the scheme of different resolutions, finally, choice the most possible scheme of resolution according to the precedence of the types

    本文針對漢語的特點建立了一個包括零代詞在內的代詞消解模型:在語義結構文法思想的指導下，對文本中的句子模式識別后，採用相應的規則式，然後分析句中成分之間的表層語義條件並產生相應的語義網路，利用語義網路中結點間的相互約束對代詞的某些候選先行詞進行排除，並且把每句中指人的語言成分放到前向中心列表中，以它們所充當的語義成分為排序依據，確定句子的層次結構，最後依據中心理論分析每個候選先行詞對代詞的不同消解所造成的層次相鄰的句子之間的過渡類型，利用過渡類型的優先順序對代詞的候選先行詞進行擇優。
  7. Adopting synchronic, on the clue of several characteristic points of the verbs, the grammatical and semantic relation, the author investigates the situations of the " kan " in modern chinese language respectively : from the solid righteousness verb " kan ", then the half solid " kan ", to the tone phrase " kan "

    摘要用共時研究的方法，以動詞的幾個典型語法特徵為參照點，著眼于「看」后成分的特性以及二者之間的語法、語義關系，逐一考察「其」在現代漢語中的語法化現狀：由實義動詞「看」到半實半虛的「看」 ，再到語氣詞「看」 。
  8. Asymmetry between nominal lexical semantic relation and logical relation

    名詞性詞義關系和邏輯關系的不對稱
  9. Figures describing the functional activity are named as activity figures. the activities are shown by cases, and affairs dealt with by the system are shown by arrows. idef modeling method, a model technique for semantic data, is used to describing the relation between information and forming cims information model

    描述功能活動的圖形稱為活動圖形，盒子表示活動，箭頭表示由系統處理的事件； idef _ 1建模方法是一種語義數據模型化技術，用以描述信息關系，建立cims信息模型。
  10. The semantic category determines the slot relation model of the noun phrases

    摘要名詞的語義類別決定了名詞短語的槽關系模型。
  11. A preliminary study on the corresponding relation between the semantic category of the noun and the slot relation model of noun phrases

    名詞的語義類別與名詞短語的槽關系模型對應關系初探
  12. Based on the study of the slot relation, the paper has examined the corresponding relation of the model of the slot relation between the semantic category of the noun and the noun phrases, finding that if the noun with the identical semantic category, its slot relation model is identical as well and the noun with the different semantic category, its slot relation model is different, or diversed greatly from each other

    在名詞槽關系研究的基礎上，對名詞的語義類別與名詞短語的槽關系模型的對應關系進行考察，發現語義類別相同的名詞，其槽關系模型也相同或基本相同，語義類別相異的名詞，其槽關系模型不同或相差很遠。
  13. 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。
  14. A new approach to the lexical semantic relation

    漢語詞匯語義關系研究的新視角
  15. So, date management is improved and a lot of complex semantic information is defined availably. the objected - oriented engineering template con structs organic relation between design and manufacture, realizes opposition and consolidate of integration and separation of geometry & manufacture information. for complex object, its hierarchical structure and dynamic data structure can be expressed effectively by simple and tight - knit way

    同時結合模板的知識表達方式，定義了語義對象工程模板，在模板中將設計信息按照對象之間的關系組織起來，加強了對數據的管理，並能表達多種復雜的語義等知識信息，建立了設計和製造活動的有機聯系，實現了幾何信息和製造信息的集成和分離的對立統一，將復雜對象、層次結構及動態的數據結構用一些相對簡單且組織嚴密的方式組織起來。
  16. For supporting the user searching multi - media information by cbr, the multi - media database system must can set up the model about the semantic characteristic, medium physics characteristic of the medium object and the timespace relation of the medium objects expediently

    為支持用戶按內容檢索多媒體信息，多媒體數據庫系統模型必須能夠方便地對媒體對象的語義特徵、媒體物理特徵以及媒體對象間的時空關系建模。
  17. The framework suppose that the image ' s semantic feature can be expressed by using a multi - level attribute tree, and the probability of a certain image having a certain attribute can be estimated by interpolation method using the neighboring image ' s value. here, the neighboring relation refers to the neighboring in the low - level feature space

    該框架假定圖像的語義特徵可用多層屬性樹來近似表示，並且圖像擁有某個屬性的概率值可由相鄰的圖像的概率值進行插值估計，框架中的相鄰指圖像在底層特徵空間的相鄰。
  18. Thirdly ， conceptual dependency trees are set up based on conceptual dependency theory and resource model to denote the relation of concepts. concept connotation is discussed in detail and the template of the noun ’ s concept connotation is established. as a result, the knowledge representation system of semantic analysis of concept connotation is obtained

    3 .根據概念從屬和資源模型建立了概念從屬樹來表示概念之間的關系，然後對概念內涵進行了詳細的討論，用基於知識的方法建立了名詞概念內涵模板，以及其常見的處理及其實現。
  19. In order to calculate the semantic coupling effectively, the edge counting method is revisited for measuring basic semanticsimilarity by considering the weighting attributes from where theyaffect an edge s strength. the attributes of scaling depth effect, semantic relation type, and virtual connection for the edge counting areconsidered. furthermore, how the proposed edge counting method could bewell adapted for calculating context - based similarity is showed. thorough experimental results are provided for both edge counting andcontext - based similarity

    為有效地計算語義耦合值，我們對度量語義基本相似度的邊計算edge counting方法進行了修改，採用加權的屬性值來修正連接兩個概念之間的邊的強度所考慮的屬性包括：縮放深度效果scaling depth effect語義關系類型semantic relation type虛擬連接virtual connection等。
  20. Using the semantic relation in hownet, it computed the similitude degree to combine the synonymousness

    最後本文還討論了系統的評價方法和系統的實驗結果。
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