semantic concept 中文意思是什麼
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Tim berners - lee brought forward the concept of semantic web in 1998 and set the goal as to make computer process information automatically by adding metadata to traditional web data to make the latter machine - understandable. the clearer meanings of data and domain theory ( ontology ) are supposed to provide high quality services for web
1998年， timberners - lee提出了語義web的概念，目標是通過向數據中添加機器可理解的語義和啟發式的使用元數據來實現機器自動處理信息，數據的清楚語義加上領域理論（即本體）將使得web提供更高質量的服務。 -
The other parts is the study of the individuated intelligent agent based of concept semantic network built in the one parts, the agent build a individuated model on the frame of concept semantic network by analyzing the student " feedback information, and the line of the concept represent the correlation of the concept
第二部分是對個性化智能代理的研究，這一部分的研究是以第一部分研究為基礎的，即在概念語義網路的基礎上構建一個智能代理系統。該系統通過分析學生的反饋信息，在概念語義網的結構上建立學生的個人興趣模型，並通過對概念之間的連線表示概念的關聯程度。 -
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。 -
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 -
In the filtering sub - system using ontology - based profile, we introduce an approach to construct the user ’ s profile based on ontology. ontology provides a formal way to describe the semantics relations between the concepts by using the means of concept - properties model. two algorithms have been designed to calculate the semantic similarity between feature vector and the profile, which have been impoved according to the evaluated results
在基於本體模板的信息過濾子系統中，本文以本體的形式來描述用戶的需求模板，利用本體中的概念關系模型來體現概念間的語義關聯關系，並設計了兩種計算文本特徵向量與本體模板語義相似度的演算法，並根據實驗結果對這兩種演算法進行了改進。 -
“ semantic gap ” is the gulf between the low - level image visual feature and high - level concepts, the images can be different of semantic concept while having similar visual feature, and they can also be different of visual feature while having the same concept
「語義鴻溝」是指圖像的低級視覺特徵和高級語義特徵之間的差距，由計算機計算出來的低級特徵的相關性很難說明圖像在語義層上的相似性，語義層上的相似性也無法證明低級特徵的相關性。 -
Spatial concept extraction based on spatial semantic role in natural language
基於空間語義角色的自然語言空間概念提取 -
Semantic network based concept retrieval
基於語義網路的概念檢索研究與實現 -
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。 -
Enlightened by the concept of " semantic transparency ", the author would like to apply a parodied term " pragmatic transparency " to analyze the pragmatic sense of utterance in english and chinese
摘要受語義透明度概念的啟發，仿用語用透明度這個概念來分析英漢話語的語用含義，提出把握好話語的語用透明度是話語修辭的重要內容，是確保日常交際、跨文化交際能夠成功的一個關鍵因素。 -
In this thesis we also defined the concept of well - formedness as a semantic correctness criteria for conversation policy
本文提供cpdl到cpel的翻譯演算法，並研究cpdl良構性定義和驗證方法。 -
The verb valence is the semantic category concept, and belongs to the glossary significance plane
動詞的價是語義范疇的概念，屬于詞匯意義平面。 -
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。 -
Comparing to the reasoning mechanism in concept language and description logic, a ~ ( h ) improves the efficiency of semantic matching between agent capabilities
相比于概念語言和描述邏輯中的推理機制， a ~ h提高了主體能力語義匹配的效率。 -
Also, we indicated that such an exposure degree detection method is to detect " erotic " videos, a very high semantic concept
同時，指出視頻皮膚暴露度檢測方法並不等同於「色情」檢測。 -
Chapter one the general theories of truth of fact. firstly, the author makes a semantic distinction between “ fact ” and “ truth ”, and points out that “ fact ” and “ truth ” are not only concepts in the ontological sense but also concepts in the epistemological sense. in the epistemological sense, “ fact ” means judgment proposition and “ truth of fact ” shows that “ fact ” is concept of judgment proposition of truth and “ truth ” is attribute of judgment of “ fact ”
在堅持以辯證唯物主義認識論為指導的前提下，運用語義分析和邏輯分析方法對案件事實真實性進行了語義上的界定和邏輯命題意義上的分析，指出案件事實是以真實性為基礎和核心的人的認識和判斷的產物。 -
As a mean to map ontology concepts, a similarity technique is employed. especially a context dependent concept mapping is tackled, which needscontextual information from knowledge taxonomy. context - based semantic similarity differs from the real worldsimilarity in that it requires contextual information to calculatesimilarity. the notion of semantic coupling is introduced to derivesimilarity for a taxonomy - based system. the semantic coupling shows thedegree of semantic cohesiveness for a group of concepts toward a givencontext
在本體的映射中，確保概念的一致性是至關重要的從總體上看，概念一致性問題可劃分成三類主要問題，即同義概念沖突synonymous concept conflict問題多義概念沖突polysemous concept conflict問題與領域相關概念沖突domain - dependent concept conflict問題。 -
Secondly ， conceptual dependency theory is chosen as an important complementarity to the method based on knowledge ， through analysis and compares of several existing semantic analysis method present. and concept is discussed thoroughly based on resource model
2 .通過對目前現有的幾種語義分析方法的分析和比較，選擇概念從屬理論作為基於知識的方法的重要補充，並應用資源模型對概念進行了深入探討。 -
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。 -
Secondly, some basic concepts about abstract and automatic summarization system are introduced, and the main formal models and methods of system are compared and analyzed, such as statistics based, meaning based, concept based, knowledge based etc. we induce their characteristics and put forward a kind of comprehensive automatic summarization system based on latent semantic analysis and text multilevel dependency structure
然後重點說明了文摘和自動文摘系統的基本概念體系，並針對目前幾種主要的自動文摘系統形式化模型和方法:基於統計的機械文摘、基於理解的文摘、基於概念依存的文本結構分析方法和信息抽取的文本摘要等模型和方法進行了比較和分析，對它們的優點和缺點進行了討論，歸納出各自的特點。
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