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。
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.
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 semantic network meaning:[Electronics] A reasoning scheme sometimes used in artificial intelligence. Logical state-ments or sentences are broken down into nodes (generally nouns) and relationships (generally verbs and modifie...semantic network 뜻:의미망semantic network перевод:семантическая сеть