精细地质研究在大庆萨中南一区丙块挖潜中的应用

根据现代细分沉积相理论 ,对南一区丙块萨 +葡 II油层进行细分单元砂体沉积相带图研究 ,第一次确立了该区块油层各单砂体三角洲沉积模式 ,并对各沉积单元的沉积特征及平面非均质性进行了描述和分析 ,进而预测和确定了该地区各类砂体中不同类型剩余油富集区 ,对二次加密调整井布井及射孔方案的编制具有指导作用 .     

龙王山常绿阔叶林石生藓分布格局的缀块性分析

为了加强对苔藓生态学的认识，应用缀块思路及相关的生态学理论，分析了龙王山常绿阔叶林5种不同生境缀块中石生藓类的分布格局。结果石生藓类H′、D、βR、βC、βT、βCJ等α、β多样性指数与各缀块的受干扰程度密切相关，表现出明显的梯度变化，真实反映了各缀块生境异质性。α、β多样性分析可以应用于缀块水平的物种组成及演替分析。     

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。     

陕北长6油层组短期基准面旋回与储层非均质性的关系

鄂尔多斯盆地上三叠统延长组长６油层组为一套砂、泥薄互层的组合类型,储层非均质性很强,尤以层间的非均质性最为严重,明显受基准面升、降,和可容纳空间及沉积物供给量的变化影响。通过高分辨率层序地层的短期基准面升、降旋回过程与储集物性关系的分析,建立了６种不同沉积微相的非均质性模式,探讨了向上变深、向上变浅的非对称型和向上变深后复变浅的对称型短期基准面旋回层序对储层非均质性特征的控制作用     

纤维素纤维及薄膜动态粘弹性及其不连续非常态行为

详细考察了三种再生纤维素样品在宽广温度范围内（－１５０￣３５０℃）的粘弹性能。实验结果表明,在该温度范围内,三种再生纤维素均出现了ａ１、ａ２、ａｓｈ、ａ３、β和γ松弛等多转变。从这些转变的特征值分析,三种样品在结构上存在较大差异。样品ＲＡＹ有较低的结晶度,在晶区内和无定形区域内存在较高的结构不均匀性;样品ＮＥＷ的结晶度较高,在晶区和无定区内存在较高的结构均匀性,而样品ＢＥＮ的超分子结构介于这两者之     

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.