Dataplan: An interface generator for database semantics

A model system (called DATAPLAN) is proposed for generation, access, and control of a shared database by casual users in their own terminology. The DATAPLAN system achieves this goal by planning a dialog which hierarchically defines the possible universe of discourse where casual users can communicate with the database. The plan is executed on the domains of hierarchical semantics, and controlled by pattern matching with a goal and generative backtracking mechanism. To ensure flexible and smooth communication of casual users with the shared database, the system generates individualized user class “fuzzy” interfaces. They are composed of multiplex associations of the attributes and values of the shared database with those of casual user classes in varying degrees.     

DATAPLAN: An interface generator for database semantics

A model system ( called DATAPLAN) is proposed for generation, access, and control of a shared database by casual users in their own terminology. The DATAPLAN system achieves this goal by planning a dialog which hierarchically defines the possible universe of discourse where casual users can communicate with the database. The plan is executed on the domains of hierarchical semantics, and controlled by pattern matching with a goal and generative backtracking mechanism. To ensure flexible and smooth communication of casual users with the shared database, the system generates individualized user class “fuzzy” interfaces. They are composed of multiplex associations of the attributes and values of the shared database with those of casual user classes in varying degrees.     

ProGen:海量数据的出处数据库生成器

出处对于研究人员,特别是对科学家判断数据和实验的正确性和时效性尤其重要。随着数据库视图实体化技术和数据标注/修订技术的广泛应用,出处的研究正逐渐成为一个新的研究热点。合适的出处数据集是测试出处管理的新技术/算法的功能准确性和性能的基础之一,而在获得真实数据之前能够生成尽可能真实的模拟出处数据,对验证和改进算法同样具有关键作用。给出了一个新的出处数据库生成器ProGen,能够根据数据出处所使用的关系模式和出处上的标注约束来生成所需规模的出处数据库,实验表明所给出的实现是高效、可伸缩的。     

基于面向对象技术的数据库管理系统设计

基于面向对象技术的数据库管理系统是当今软件界研究的一个热点 ,本文结合实例就系统设计中的关键技术面向对象数据模型进行深入探讨 ,并提出了面向对象数据模型向数据库结构转换的策略     

信息管理中大型数据库管理系统的应用研究

随着社会的发展,信息时代和大数据的到来,各行各业对信息管理系统性能要求越来越高。而在信息管理系统中大型数据库管理系统的应用,不仅能够提高信息管理系统的性能,而且对提升信息的利用率也具有重要的作用。下面本研究首先分析了信息管理中大型数据库管理系统的特点,然后详细分析了信息管理中大型数据库管理系统的具体应用,以供参考。     

投资项目管理的知识支持系统

从系统工程角度分析投资项目管理，针对建设投资项目系统存在的不确定性，提出建立了一个对整个投资项目管理周期的市场环境和企业的生产经营信息进行存储管理的知识库，用来辅助企业做出各种决策。采用面向对象技术构造知识库开发模型，给出了相应的模型结构，建立了现实性校验流程图，知识支持系统自始至终优化管理建设投资项目，增强了决策信息的可靠性，使项目投资最优化。     

基于Nhibernate的产权管理系统的设计与实现

对象-关系映射就是把对象映射到关系数据库的记录。它是完全从面向对象的角度来设计和开发程序。从Hibernate移植过来的Nhibernate技术是面向,NET环境的对象．关系数据库映射框架。该框架将业务层与数据存储分离。应用程序开发人员能够以统一的、面向对象的方法进行对象数据存取,而不必关心底层关系数据库的具体实现。通过使用ORM框架可以大大减少程序代码量并减少了出错的机会,从而极大地提高了开发效率。     

面向对象图象处理的研究

针对当前微机图象处理领域中存在的一些问题，本文提出了一种面向对象的图象处理方法，这对于解决微机图象处理中存在的问题具有一定的参考价值。     

A survey of reasoning procedures in knowledge based systems for economics and management

This paper surveys reasoning and inference strategies as especially relevant for knowledge based systems in economics and management. This requires elements of object oriented features, numerical and text constraints, search over time, game power conflict resolution. Specific functionalities are discussed.     

An evaluation of buffer management strategies for relational database systems

In this paper we present a new algorithm, DBMIN, for managing the buffer pool of a relational database management system. DBMIN is based on a new model of relational query behavior, thequery locality set model (QLSM). Like the hot set model, the QLSM has an advantage over the stochastic models due to its ability to predict future reference behavior. However, the QLSM avoids the potential problems of the hot set model by separating the modeling of reference behavior from any particular buffer management algorithm. After introducing the QLSM and describing the DBMIN algorithm, we present a performance evaluation methodology for evaluating buffer management algorithms in a multiuser environment. This methodology employed a hybrid model that combines features of both trace-driven and distribution-driven simulation models. Using this model, the performance of the DBMIN algorithm in a multiuser environment is compared with that of the hot set algorithm and four more traditional buffer replacement algorithms.This research was partially supported by the Department of Energy under Contract No. DE-AC02-81ER10920 and the National Science Foundation under grant MCS82-01870.     

计算机数据库系统在信息管理中的应用

21世纪是信息化的时代,也是科学技术迅速发展的时代.随着人们生活水平的不断提高,计算机的运用得到进一步的推广.加之,全球化的发展使得各个地区之间的竞争和合作增加,因此,其面临的信息量也越来越大.使用计算机数据库系统对相关的信息进行科学化的管理,可以提高信息管理的效率,降低人工管理的误差,也可以降低使用者的总成本.本文主要从该技术的相关释义、使用、建议等方面对二者进行简单的阐述.     

Security checking in relational database management systems augmented with inference engines

In this paper we will discuss the notion of multilevel security and the difficulties encountered in designing an implementation scheme for a security policy for a multilevel secure database management system (MLS/DBMS). We will then describe how these difficulties may be overcome in augmenting a database with an inference engine so that it functions like a knowledge based system.     

图像数据库管理系统的关键技术研究综述*

综述了图像数据库的体系结构和框架,设计了一个图像数据库通用框架。围绕通用框架,综述了存储机制、数据模型、语义模型、图像检索和可视化等关键技术,分析了它们的研究现状和有待解决的问题。     

用于HLA实时仿真的内存机制数据库开发

介绍了内存机制数据库的研究与开发的主要内容.随着计算机技术的发展和仿真应用的变化和高层体系结构HLA的出现,改变了计算机仿真技术研究和应用的格局.针对体系仿真对实时性的高要求,提出一种新的提高体系仿真实时性能的方法,即利用内存机制数据库技术来解决实时性需求.它能够高速缓存后台数据库中的数据,依靠内存机制数据库对这些数据进行管理,构成内存数据库管理系统.并通过选用FCS-DBS系统作为实例验证了理论研究部分的可行性.     

智能信息平台Jasmine ii研究及应用

介绍新一代Internet智能信息平台Jasmine ii的结构和特点,包括Jasmine ii的对象模型、访问技术,同时介绍了在该对象平台上开发成功的电子商务套装应用软件E－Mart Suite for Jasmine。最后,比较和分析了该软件的特点和优势。     

物流自动化管理系统的数据库设计

为实现仓储物流自动化管理系统的入库、出库、报表、储位查询、物品查询、客户查询、仓库及人员管理模块等功能模块,本文采用SQLSEVER2000数据库管理系统、微软公司的VS.NET的C#开发工具,利用其提供的各种面向对象的开发工具,其中最主要的是ADO.NET技术实现了基于电子标签技术的物流自动化管理系统后台数据库方面的开发任务。现场试验表明:本文所设计的物流自动化管理系统达到了预期要求。     

基于P2P的数据库管理系统研究*

传统的大型数据库系统是典型的C/S结构,系统中有一个中心服务器,上面运行一个大型数据库系统,其他节点通过服务器访问数据库系统。但这种C/S结构容易在服务器处产生系统瓶颈。为了解决这个问题,将P2P的观念引入数据库系统,建立了一种C/S与P2P相结合的新系统。在该系统中,服务器和客户端是C/S模式,同时所有的客户端组成一个P2P系统。为了提高系统效率又将这个P2P系统根据节点访问的数据表的不同划分为多个小的P2P网络。通过此方式客户端之间实现了数据缓存的共享,从而减少了对服务器访问的频率,减轻了服务器的负担     

Agent-based simulation of electricity markets: a survey of tools

Agent-based simulation has been a popular technique in modeling and analyzing electricity markets in recent years. The main objective of this paper is to study existing agent-based simulation packages for electricity markets. We first provide an overview of electricity markets and briefly introduce the agent-based simulation technique. We then investigate several general-purpose agent-based simulation tools. Next, we review four popular agent-based simulation packages developed for electricity markets and several agent-based simulation models reported in the literature. We compare all the reviewed packages and models and identify their common features and design issues. Based on the study, we describe an agent-based simulation framework for electricity markets to facilitate the development of future models for electricity markets.     

Cognitive simulation as a tool for cognitive task analysis

Cognitive simulations are runnable computer programs that represent models of human cognitive activities. We show how one cognitive simulation built as a model of some of the cognitive processes involved in dynamic fault management can be used in conjunction with small-scale empirical data on human performance to uncover the cognitive demands of a task, to identify where intention errors are likely to occur, and to point to improvements in the person-machine system. The simulation, called Cognitive Environment Simulation or CES, has been exercised on several nuclear power plant accident scenarios. Here we report one case to illustrate how a cognitive simulation tool such as CES can be used to clarify the cognitive demands of a problem-solving situation as part of a cognitive task analysis.