semantic knowledge 中文意思是什麼

semantic knowledge 解釋
語義知識
  • semantic : adj. 語義（學）的。
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  1. Semantic nets ( sn ) has powerful capability of knowledge representation ( kr ), but there is no accepted formal description architecture of it38 - 39. this problem leads to different meanings of it and uncertainty of inference process

    語義網路有很強的表達知識的能力，但它沒有公認的形式化表示體系，存在歧義性和推理不確定性的問題。
  2. 3, taking the " digital house property ( dhp ) " as the example, the paper has a try on the technical methods in semantic sharing of gis. this paper, combined he construction emphasis of sharing platform in dhp, explores the essence of semantic share of gis and its realizing strategies. three aspects are emphasized here : ( 1 ) integration of msds database based on the sharing platform of gis ; ( 2 ) share of metafile under different gis platforms with the semantic standards of sharing metafile ; ( 3 ) auto or half - auto building of spatial relationships according to rule and knowledge databases

    3 、以「數字房產」的建設為例從技術手段對實現gis語義的共享進行了實踐，論文結合「數字房產」共享平臺的建設重點對gis語義共享的實質及其實現策略進行探索，重點做以下三方面內容的研究：門）通過建立gis共享平臺實現對多源空間異構數據庫的整合； （ 2 ）通過共享圖元語義標準，實現不同gis平臺下的圖元共享； （ 3 ）通過規則庫和知識庫實現空間關系的自動半自動生成。
  3. " semantic web research of demonstrative subject and the web knowledge editor

    通用網上知識編輯器及示範主題語義網研究
  4. Domain ontology and knowledge inference based semantic web application

    基於領域本體和知識推理的語義網際網路應用
  5. To solve the problem, a kind of multi - ontology analysis framework consisted of orthogonal matrix made up of multi - dimensional ontology model and temporal model is re - searched ; and then multi - dimension knowledge warehouse based on xml topic maps is constructed, which is developed to implement the accurate and efficient storing and retrieving for knowledge of semantic level

    針對這個問題，研究了通過多維本體模型和時域模型的正交矩陣構建的多本體分析框架，並以此為基礎，構建了基於xml主題地圖技術的多維知識倉庫，實現了高效準確的語義級知識的存儲和檢索。
  6. Landauer, t. k., and s. t. dumais. " a solution to plato ' s problem : the latent semantic analysis theory of the acquisition, induction, and representation of knowledge. " psychological review 104 ( 1997 )

    藍道爾與杜曼，柏拉圖問題的解答：知識獲得、歸納及表徵的潛在語意分析理論， 《心理學回顧》第104期（ 1997年） 。
  7. Firstly, for the errors of text ’ character and word, utilizing neighborship of character or word, check character and word errors by character string co - occurrence probability. secondly, for the errors of syntax of text, according to statistic and analysis of a large - scale contemporary chinese corpus, recognize the predicate focus word and the others sentence ingredient, check the syntax errors. thirdly, for the errors of text ’ semanteme, establishing semantic dependency relationship tree based on hownet knowledge, presents a method that based on semantic dependency relationship analysis to compute sentence similarity, check the semantic errors

    對于文本字詞錯誤的檢查，本文主要利用了字詞二元接續關系，根據同現概率檢查文本字詞錯誤;對于文本語法錯誤的檢查，本文利用教研室已有的一個大規模語料庫，通過對語料庫進行統計分析，獲得語法查錯所需要的語言規律和知識，利用謂語中心詞識別和其他句子成分識別的方法，檢查文本語法結構上的錯誤;對于文本語義錯誤的檢查，本文主要利用知網知識得到語義依存樹，通過對句子的有效搭配對的相似度計算檢查語義錯誤。
  8. Method of enterprise knowledge integration based on semantic web

    基於語義網的企業知識集成方法
  9. Then discusses common knowledge representation method such as predicate logic, semantic network, production rule, frame etc. and probes into the application of predicate logic in epr system

    然後，較詳細地討論了謂詞邏輯、語義網路、產生式規則和框架等常用的知識表示方法，重點研究了謂詞邏輯知識表示技術在電子病歷系統中應用問題。
  10. This thesis firstly analyzed major techniques widely used in semantic web and also ontology theory. it then focused the researches on reasoning techniques in the context of ontology knowledge base systems

    本文在分析語義web的支撐技術和本體知識庫的理論后，著重研究基於本體知識庫系統的自動推理技術，分邏輯推理和傳統的規則推理兩方面進行研究。
  11. Today km bases on the ontology which provides the terminology shared and understood unanimously by all the people concerned, and establishes a organizational memory ( om ). om changes the unstructured and semi - structured information into the structured knowledge items by annotating all kinds of information with the explicit explanation in a semantic way, and it gives the efficient means to store and retrieve them

    現代知識管理以本體論提供的共享、理解一致的術語為基礎，建立組織記憶（ om ） ，對企事業關注的各種信息體作語義清晰的說明，將非結構化、半結構化的信息體轉化為含結構化存儲的知識項，並提供高效的存取結構。
  12. 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。
  13. 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
  14. First we put forward the general idea about this method and give a brief introduce to its semantic knowledge resource - the hownet dictionary

    本文首先提出了這種方法的總體思路，並對其語義知識資源《知網》作了簡要的介紹。
  15. Latent semantic analysis ( lsa ) is a completely automatic theory and method of the acquisition and representation of knowledge, which extracts the contextual - usage meaning of words by statistical computations applied to a large corpus of text

    潛在語義分析（ latentsemanticanalysis ， lsa ）是一種用於自動地實現知識提取和表示的理論和方法，它通過對大量的文本集進行統計分析，從中提取出詞語的上下文使用含義。
  16. The semantic web uses a multi - level framework to achieve its goal. ontology locates in the level from textual description to knowledge - based reasoning. so it is important to develop ontology for the semantic web

    語義web採用多層次的表示框架， ontology位於從文檔描述到知識推理轉折的層次，因此ontology的構建是實現語義web的關鍵環節。
  17. Since it is world knowledge dependent, a simple way of deriving the relations between morphemic components is by examining existing unknown words. in such compounds, certain interpretable semantic relationships between morphemic components must be held. however there is no absolute means to judge whether the semantic relations between morphemic components are acceptable, i. e. the acceptability of such type of compounds is not simply yes or no

    第二種是開放型，這種類型的未知詞集合很難用規則語法表達得很精確，例如偏正結構的名詞性復合詞，修飾語和中心語之間有語意選擇性關系，語意之間的結合關系不是絕對可以或不可以，而是有不同的合理程度關系。
  18. You will also have to have the linguistics and some semantic knowledge

    你也將會必須有語言學和一些與語意有關的知識。
  19. In cfm, there exists the semantic knowledge about chinese clause and it includes the semantic modes which are the basic modes used to represent the human ' s experience, and the elementary concepts which are the components of semantic mode

    Cfm中擁有漢語小句級的語義知識，它包含了小句的「語義模式」以及組成「語義模式」的「基元概念」 。
  20. In this paper, we elaborate an intelligent search agent working on the internet, introduce the conception of ontology into the agent, make use of ability of ontology to describe semantic knowledge, set up a simple model of information agent using ontology to standardize the user ' s requests, analyze the results returned by the search agent and study the user ' s interests in order to let the information agent to retrieve information for users without requests

    本文對因特網上的智能搜索agent作了比較深入的研究，將本體引入到智能信息agent中來，利用本體對語義知識描述的特長，在某個領域內建立一個簡單的本體實例，用來規範本體的查詢請求、分析處理搜索代理返回的搜索結果、學習用戶的興趣愛好，使其能自主的為用戶查找用戶感興趣的信息。
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