semantic network中文是什么意思

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中文翻译
造句

语意网路
语义网络

semantic adj. 语义(学)的。
network n. 1.网眼织物。 2.(铁路、河道等的)网状系统，网 ...
a tract semantic network 抽象语义网络
abstract semantic network 抽象语义网络
existential node in semantic network 存在节点语意网路内
extended semantic network 扩展语义网络
partitioned semantic network 分区语义网; 划分语义网络
pre-compiled semantic network 预编译语义网络
procedural semantic network 过程语义网络
semantic association network 语义关联网络
semantic network model 语义网络模型
semantic network representation 语义网络表示
semantic network-based system 基于语义网络的系统
set oriented semantic network 集合导向型语意网路 [面向集合型语意网路; 集合导向型语意网络
compositional semantic 合成语义
content, semantic 语意内容
external semantic 外部语义
fixpoint semantic 不动点语义; 固定点语义
internal semantic 内部语义
interpretive semantic 解释语义
matrix semantic 语意矩阵
semantic actions 语义动作
semantic affinity 语义一致
semantic ambiguity 语意含混; 语义反常
semantic analysis 语义分析

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例句与用法

In the system , key word networks and low - level feature table are both established for images , which realized double indexing ; relevant feedback is also applied in the system . on one hand , it enables the system catch users " query intention on line by adjusting its similarity criterion automatically ; on the other hand , it pass the annotations for relevant images , update weights between key words and images and fill the semantic networks , thus the system can study in long - term
此系统为图像构建语义关键字网络，并建立低层特征库，对图像实行特征和语义的复合索引；通过相关反馈技术一方面在线理解用户的查询意图，自动调整相似度测量准则以符合用户需求；另一方面给相关图像传递语义标注，更新相关性强度，充实语义网络，实现长期的学习和记忆。
Research on design knowledge acquisition method from web materials and information . aimed at the character of web text , on the one hand we acquire page topic keyword by the techniques of content extraction , participle / part of speech label , characteristic extraction , and realize the concept semantic network ' s extension by calculating the correlated degree and the similar degree ; on the other hand , according to the similarity between xml and concept semantic network , we put forward to build a set of xml labels to sign the web text so that the knowledge can be saved in the web text , and then we store the knowledge in the text knowledge database
研究了从素材和信息中获取知识的方法，针对web文本的特点，一方面利用内容提取、分词词性标注、特征提取等技术，获取页面主题词，并通过对主题词进行相关度和相似度的计算实现对概念语义网络的扩展；另一方面根据xml的特点和概念网络的特性，提出可建立一套基于概念语义网络的xml标记集来对web文本进行标注，使得知识保留在web文本中，并存储在文本知识库中。
At first system accomplishes chinese language automatic word segmentation and part - of - speech tagging through chinese input approach with word segmentation , then forms corresponding surface semantic network according to the semantic structure grammar , and finally gets corresponding data flow diagram and data dictionary according to the automatic generation algorithms of data flow diagram and data dictionary , the whole completion of the work , can not only provide a description environment of natural language for case , but also develop into the system which takes the question described on the basis of the natural language as the system ' s input
工作的中心是自然语言篇章理解。系统首先通过分词输入法实现汉语自动分词与词性标注，然后根据语义结构文法产生相应的表层语义网络，最后根据数据流图、数据字典自动生成算法转换为相应的数据流图和数据字典。这项工作的彻底完成，不仅可以给case提供一个自然语言的描述环境，而且可进一步发展为基于自然语言描述问题作为输入的系统。
This paper described the essential theory of expert system , and many kinds of knowledge expression , such as producing rule , semantic network frame , predicate logic , and knowledge expression in home . and it recommended many kinds of reasoning technology , such as positive chain , inverse chain , uncertainty reasoning . it depicted principle , essential character of com and realization of com
本文介绍了专家系统的基本理论，和产生式、语义网络、框架、谓词逻辑等多种知识表达方式以及国内所采用的农业知识表达方式，并描述了正向链、反向链、不确定性等多种推理技术，还阐述了com原理及其基本特性，以及com组件的实现。
The primary contributions of this thesis include : with respect to the requirements of domain knowledge modeling on the web , the author puts forwards a new method for domain ontology modeling , named domain knowledge ontology for web ( dkow ) . based on the foundational theory of ontology , dkow integrates the methods of semantic network , object - oriented modeling and semantic data modeling
Dkow方法直接建立在本体论的基本理论之上，具有朴素的知识建模思想，是一种将语义网络的知识表示与面向对象逻辑建模、面向数据的语义建模有机地结合的方法，能够有效地对领域结构、领域中的概念、概念的性质、概念间的关系等静态知识进行建模和推理。
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
依据上下文语境的动态变化性， ccm采用一种结构化的语义网络表示上下文语境知识，称为概念信息体关联网络ciurn ( conceptinformationunitrelationnetwork ， ciurn ) ，并建立了动态获取上下文语境知识以及动态地管理和维护上下文语境知识的机制。
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
本文针对汉语的特点建立了一个包括零代词在内的代词消解模型:在语义结构文法思想的指导下,对文本中的句子模式识别后,采用相应的规则式，然后分析句中成分之间的表层语义条件并产生相应的语义网络,利用语义网络中结点间的相互约束对代词的某些候选先行词进行排除，并且把每句中指人的语言成分放到前向中心列表中，以它们所充当的语义成分为排序依据，确定句子的层次结构，最后依据中心理论分析每个候选先行词对代词的不同消解所造成的层次相邻的句子之间的过渡类型，利用过渡类型的优先顺序对代词的候选先行词进行择优。
This paper analyses the knowledge and technology of searching engine , especial discusses the limitation of chinese searching engine , then puts forward a searching engine model fitting the students in the network education and builds the frame - work . the model uses artificial intelligence ( ai ) , such as the concept semantic network and the intelligent agent , and makes the model more intelligentizing
本论文就是在分析了搜索引擎的相关知识与技术，特别是分析了中文搜索引擎所具有的一些局限性后，提出了在网络教育资源环境下的一种适合学生使用的一种智能搜索引擎模型并给出了该智能搜索引擎的体系结构。

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百科解释

A semantic network, or frame network, is a network which represents semantic relations between concepts. This is often used as a form of knowledge representation.

详细百科解释

其他语种释义

semantic networkとは意味：意味｛いみ｝ネットワーク◆コンピュータ上で知識｛ちしき｝を処理｛しょり｝する方法｛ほうほう｝の一つ。意味｛いみ｝の連想｛れんそう｝をネットワークで結んだもの

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Last modified time:Tue, 12 Aug 2025 00:29:56 GMT