基于叙词表的油藏构造知识图谱

为采用知识图谱技术实现对油藏构造知识的整合,解决在本体建模过程中,很少将标准融合到本体模型 中,且在转换过程中存在对叙词概念粒度划分较粗或完全不对叙词进行类型划分等问题,提出一种基于叙词表 构建知识图谱的新方法,即标注原叙词表,建立映射规则,构造转换算法和生成知识图谱。其中标注、映射规 则建立与转换算法定义了构建知识图谱标准化过程。最后,选取油藏构造领域的部分知识,采用所提方法构建 知识图谱,其结果表明了该方法的可行性。     

从《汉语主题词表》获取本体概念的研究

本体和叙词表的共性使得利用叙词表构建本体成为可能,构建本体的重要步骤之一就是获取概念。论述了从《汉语主题词表》获取概念的方法,探讨了存在的问题及解决的策略,以期为利用叙词表构建本体获取概念提供一些思路和方法。     

基于叙词表的领域本体半自动构建的研究和实现

如何组织、管理和维护海量的信息资源并为人们提供高效优质的信息服务,本体(ontology)作为一种能在语义和知识层次上描述信息系统的概念模型建模工具,为解决这一问题提供了新的途径,已受到国内外研究人员的广泛关注.对本体和叙词表的相关知识进行了详细论述,并利用网络本体语言(Web Ontology Language,OWL),将叙词表中的叙词及词间关系进行了表示和描述.设计和实现了一个转化系统,能够自动地将叙词表中的知识结构和语义关系转化到领域本体中.     

New Applied Research on Semantic Electronic Thematic Words

随着计算机网络与信息技术的迅速发展 ,广大用户对网上资源信息检索的质量提出更高要求 ,其关键因素是信息的自动处理和控制能力 ,电子叙词表建构及其计算机管理是提高信息检索质量的重要保证 .文中建立了叙词表、叙词关系表、停用词表以及范畴索引、词族索引 ,并给出了具体实现的数据结构与算法 .实践表明 ,以词表知识概念控制的自动处理技术极大地提高了信息检索的质量     

EXPRESS 向 OWL2 本体模型自动转换研究

为解决 EXPRESS 向本体转换中存在通用性差、 缺乏映射规则的形式化和自动转换等问题, 在不依赖领 域情况下, 提出两种语言间映射的形式化规则和自动转换算法。 该映射规则和算法实现了基于 EXPRESS 的石 油勘探开发国际标准数据模型(Epicentre)向本体的自动转化。 采用 Jena 推理验证了所构建的 Epicentre 本体的 准确性、 完整性和一致性。 结果表明, 该映射规则与自动化算法的有效性和普适性。     

基于ITT桥墩标出性叙词法本体方文数据维构

以ITT桥墩的倡筑,标出性ITT on数据储存集结的特色化彰显意义,以本体作为一种智能语义和知识层面上的描述知识信息系统的概念、以模型化建模工具,吸引众多同仁的目光。以领域或域范区域本体化的构建为研究导向,并利用叙词表来构建域范本体区域ITT网桥墩方文献数据库的引入,可以高效率化地进行地方文献开发利用;本文浅释叙述了利用叙词表构建域范本体网桥墩方志性文献数据库的研究过程,并拟出了构建"汉代徐州文化名人数据研究库"个案例举。推进汉文化徐州方志桥墩叙词表本体化研究,彰显其"桥墩特色"之人工智能化、叙词本体语义化、web3.0数据库创建的意义。     

从OWL本体到关系数据库模式的转换

给出了OWL本体和关系数据库模式的形式定义;在分析了OWL本体和关系数据库模式之间概念对应的基础上,定义了从OWL本体到关系数据库模式的转换规则.基于J2SE平台的算法实现和典型实例表明,从OWL本体到关系数据库模式的转换是可行的.     

UML类图向OWL本体转换工具的设计与实现

介绍了UML类图向OWL本体转换的方法,给出了基于J2SE平台的转换工具(UML2OWL)的设计思想与实现技术.利用DOM API解析、提取UML类图元素,并根据UML-OWL转换规则,将其转换为相应的OWL本体元素.工具开发和案例研究表明,该转换方法在转换UML类图到OWL本体上是可行的,基于该转换方法的自动转换工具是可实现的.     

网络环境下情报检索语言的发展趋势

本文通过分析网络环境下人工语言与自然语言的应用,指出使用后控词表使自然语言与人工语言巧妙融合将是情报检索语言的发展趋势.     

一种新型矢栅转换的平行线扫描算法

目的矢量数据向栅格数据转换的问题.方法在射线法和扫描法的基础上提出了平行线扫描算法,详细地论述了该算法的基本思想和特点.结果减少了大量的栅格判断的计算,数学判断简单可靠,还保证了运算的准确性.结论是一个矢量向栅格的数据新的转换算法,大大提高了运算的效率和精度.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.