C语言语句使用频度的自动统计方法设计与实现

讨论了C语言语句静态使用频度的统计方法,给出了完整的自动统计的C语言源程序及C语言语句静态使用频度.统计结果成为缩短高级语言和机器语言间语义差距,缩短编译程序的长度和编译所需时间的重要依据.     

IFO模型在数据库逻辑设计中的应用

反映信息系统的结构语义是数据库设计的主要目的之一。这一目的一般采用语义数据模型来达到。我们考察这一问题的逆问题:识别关系数据库模式中IFO结构。本文描述了将无语义的关系模式转换成IFO图的方法,同时给出了该方法的具体应用。     

水资源生态价值观及其哲学内涵的探讨(英文)

本文在对传统的水资源价值观及其伴随的水患问题进行分析的基础上,提出水资源生态价值观,并对这一全新的观念的经济属性及其哲学内涵作了初步探讨。     

汉语中"的"字短语右边界的识别

“的”字是现代汉语中的高频词．“的”字的作用主要是用来构成短语,我们称之为“的”字短语,它是现代汉语中最常见的短语．“的”字短语造成了汉语句子中丰富的层次和复杂的语义结构．汉语句子中很多的歧义结构也是由“的”字短语引起的．因此正确地分析“的”字短语的结构对于汉语句法分析和汉语理解是很重要的．要分析“的”字短语的语义结构必须首先识别出句子中的“的”字短语．当然,当“的”字以词的形式出现在句子中时,这个句子中就出现了一个“的”字短语．可是这个“的”字短语的右边界在那里呢？如何让计算机能够正确地识别出它的右边界呢？这个问题却迄今未见有文献涉及．该文对此进行了研究并提出了研究交提出了识别“的”字短语边界的算法．     

一个基于语义万维网的应用平台

为了对语义万维网程序提供支持，构建了一个基于语义万维网应用的平台(SWAP)。介绍了SWAP的存储模型，包括对文本文件的支持、数据库的设计和构建；描述了中间层的应用程序接口的设计，举例阐述了存储模型与核心数据结构的转换，并简单介绍了建立在此基础上的语义知识编辑环境这一特殊应用，SWAP系统为语义万维网程序的开发和运行提供了一个完整的平台。     

A Framework of Semantic Information Representation in Distributed Environments

0 IntroductionOonft thhee gcloombaml uinnifcoartimoanti onentiwnofrraksst rhuacstu mread,et ahvea iglraebalte teox puasnesrisolarge number of autonomous data repositories ,however ,these repositories present different structures and semantics result fromthat distinct data sources may use different modeling methodsmaking very difficult to share and exchangeinformation.Recentlythere have been some works ,such as OntoBroker in Ref .[1] ansystemin Ref .[2] ,that focus on the umformrepresentation …     

Query through heterogeneous ontologies using association matrix

This paper introduces the definition and calculation of the association matrix between ontologies, h uses the association matrix to describe the relations between concepls ill different ontologics and uses concept vectors to represent queries; then computes the vectors with the association matrix in order to rewrite queries, This paper proposes a simple method of querying through heterogeneous Ontology using association matrix. This method is based on the correctness of approximate information filtering theory; and it is simple to be implemented and expected to run quite fast.     

Integrated semantic similarity model based on ontology

To solve the problem of the inadequacy of semantic processing in the intelligent question answering system. an integrated semantic similarity model which calculates the semantic similarity using the geometric distance and informarion content is presented in this paper. With the help of interrelationship between concepts, the information content ofconcepts and the strength of the edges in the ontology network. we can calculate the semantic similarity between two concepts and provide information for the further calculation of the semantic similarity between user‘s question and answers in knowlegdge base. The results of the experiments on the prototype have shown that the semantic problem in natural language processing can also be solved with the help of the knowledge and the abundant semantic information in ontology. More than 90% accuracy with less than 50 ms average searching time in the intelligent question answering prototype system based on ontology has been reached. The result is vety satisfied.     

A semantic retrieval method based on the fuzzy reasoning

This paper gives a semantic fuzzy retrieval method of multimedia object, discusses the principle of fuzzy semantic retrieval technique, presents a fuzzy reasoning mechanism based on the knowledge base, and designs the relevant reasoning algorithms. Researchful results have innovative significance. Foundation item: Supported by the Natural Science Foundation of Hubei Province(No. 200J157) Biography: Cao Jia-heng(1946-), male, Professor, research direction: multimedia software, artificial intelligence.     

语义结构复杂异常的语符"A and B"

"A and B"是最常见的词组形式,也是最简单的常用组词结构.对其作语法分析很容易,作正确又清晰的语义分析却不容易.