SUPERBASE：一个CIM环境下面向对象的多数据库集成系统

ＳＵＰＥＲＢＡＳＥ是一个ＣＩＭ环境下面向对象的多数据库集成系统，其目标是有效地集成分布在多个已存在的自治和异构的局部数据库中的信息，以实现各系统间的信息共享。本文首先介绍了ＳＵＰＥＲＢＡＳＥ的体系结构、模式集成机制；然后讨论了全局数据库和局部数据库间的数据副本问题，提出了相应的解决方法；最后给出了集成数据模型ＩＤＭ和集成数据语言ＩＤＬ。     

WEB与数据库集成技术的分析与应用

本文介绍了几种常用的ＷＥＢ与数据库集成技术，对它们的特点进行了比较，并结合远程教学系统课件库浏览器的设计与实现，介绍ＷＥＢ与数据库集成的具体应用。     

ISEE数据库平台的设计与实现

为了有效实施ＩＳＥＥ复杂数据的集成，本文讨论了ＩＳＥＥ数据库平台所需具备的功能和对ＯＯＤＢ的需求，给出ＩＳＥＥ数据库平台的实现结构以及环境数据库辅助工具的配置与实现。     

ISEEO数据库平台的设计与实现

为了有效实施ＩＳＥＥ复杂数据的集成，本文讨论了ＩＳＥＥ数据库平台所需上备的功能和对ＯＯＤＢ的需求，给出ＩＳＥＥ数据库平台的实现结构以及环境数据库辅助工具的配置一。     

基于MGE环境的数据库设计与集成

】ＭＧＥ是国际上先进的地理信息系统软件。本文在介绍其基本结构的基础上,阐述了以ＭＧＥ为支撑软件的海南国土资源基础信息系统（ＨＬＲＦＩＳ）数据库设计的方法,提出了数据库集成的策略。     

基于DHTML和RDO的Web数据库开发技术

对目前用的ＣＧＩ,ＡＳＰ等开发ＷＥＢ数据库的方法进行了分析比较,说明了产特点,进而 基于ＤＨＴＭＬ和ＲＤＯ技术的ＷＥＢ数据库开发技术,介绍了一种使用微软Ｖｉｓｕａｌ Ｂａｓｉｃ６．０集成开发工具结合ＤＨＴＭＬ技术开发ＷＥＢ数据库的具体方法,最后通过实例文章说明了如何将该技术使用于实际的ＷＥＢ数据库的开发中。     

ISEE的OODB需求与应用

本论文针对ＩＳＥＥ的集成模型、机制和原理全面地分析了它对ＯＯＤＢ的需求，采用面向对象技术和方法，以ＯＯＤＢ为基础设计和实现了适应ＩＳＥＥ数据特点的面向对象数据库平台     

基于CORBA标准的STEP数据库的实现研究

为解决企业间跨异构平台的产品数据共享问题,采用面向对象的设计方法将ＣＯＲＢＡ标准与ＳＴＥＢＰ标准有机地结合起来,实现了基于ＳＴＥＡＰ２０３全局数据模型的集成虚拟企业产品数据存储系统－ＳＴＥ数据库。     

CAACS—TA专家系统中数据库的实现

本文从工程应用角度出发，结合计算机辅助飞机协调路线系统设计与容差分配专家系统开发中工程数据库的实现，利用Ｅ－Ｒ模型逻辑数据库设计方法，基于扩展关系型数据库重构的原理，提出了一种适用于工程关系模型、层次模型、网络模型的集成数据库方法。     

多模型集成数据库的研究与实现

本文从工程应用角度出发，结合计算机辅助飞机协调路线系统设计与容差分配专家系统开发中工程数据库的实现，利用Ｅ－Ｒ模型逻辑数据库设计方法，基于扩展关系型数据库重构的原理，提出了一种适用于工程中关系模型、层次模型、网络模型的集成数据库方法。     

Geographic Information Systems: An Emerging Component of Decision Support

Quietly, yet productively, geographic information systems(GISs) have introduced new decision support capabilities in organizations whose demands for spatially oriented data bases are important. These systems will have a substantive impact in selected industries, government units, and businesses by integrating maps with spatially oriented data base information and enabling decision makers (i.e., IS and senior managers) to access forms of information not previously available.     

基于XML的文件系统与多数据库系统的集成

文件系统与多数据库系统集成是解决多个分布的异构数据源数据共享的必由之路。本文在对文件系统与多数据库系统集成中的问题进行分析的基础上，提出利用可扩展置标语言XML来实现文件系统与多数据库系统集成，并且提出了一种面向XML Schema的公共数据模型XIDM。XIDM能较好描述无结构化和半结构化数据的数据，建立在一系列XML标准的基础上，具有较强的实用性和通用性。文章还对目前XML的查询语言进行了讨论，确定将扩展的XML－QL作为配合XIDM的查询语言。     

Possibilistic Merging and Distance-Based Fusion of Propositional Information

The problem of merging multiple sources information is central in many information processing areas such as databases integrating problems, multiple criteria decision making, expert opinion pooling, etc. Recently, several approaches have been proposed to merge propositional bases, or sets of (non-prioritized) goals. These approaches are in general semantically defined. Like in belief revision, they use implicit priorities, generally based on Dalal's distance, for merging the propositional bases and return a new propositional base as a result. An immediate consequence of the generation of a propositional base is the impossibility of decomposing and iterating the fusion process in a coherent way with respect to priorities since the underlying ordering is lost. This paper presents a general approach for fusing prioritized bases, both semantically and syntactically, when priorities are represented in the possibilistic logic framework. Different classes of merging operators are considered depending on whether the sources are consistent, conflicting, redundant or independent. We show that the approaches which have been recently proposed for merging propositional bases can be embedded in this setting. The result is then a prioritized base, and hence the process can be coherently decomposed and iterated. Moreover, this encoding provides a syntactic counterpart for the fusion of propositional bases.     

The role of product safety and liability in concurrent engineering

This paper explores the role of product safety and liability in the early stages of product design in a concurrent engineering environment. The paper presents an overview of literature pertaining to the significance of product liability for manufacturers. Further, the paper presents a system approach to product safety, a conceptual framework for design for safety and liability, and a product safety program, which covers the three safety techniques of Preliminary Hazard Analysis, Fault Tree Analysis, and Failure Mode and Effect Analysis. The focus of the paper, in terms of incorporating safety in the product, is on design, manufacturing, and providing warnings. The example of a disc braking system is presented and discussed in order to explain, test, and validate the model and methodology. The developmental aspects of product safety are considered and a Knowledge Based Management System (KBMS) is developed. The KBMS is capable of integrating data bases and knowledge bases into a system that generates form design features. These design features also contain product safety attributes. Finally, the paper presents conclusions and an assessment of the results and provides additional perspectives.     

基于EC—MAS的半结构化信息处理模式研究

在基于MAS（Multi-Agent-System)的电子商务系统环境中,提出了一个针对半结构化信息的规范处理模式。通过这个处理模式,系统可以自主解决电子商务系统中数据的提取与转化、信息集成、数据关联管理等问题。这种信息处理模式结合了MAS设计思想,利用信息提取与转换器（Wrapper)屏蔽或解释半结构化信息中的异构部分的方法,设计信息源封装体系;通过提供一致的应用接口,使系统可以对信息源施加各种操作和管理,同时介绍了一个利用该模式设计的信息管理网站的结构。     

Distributed reasoning with ontologies and rules in order-sorted logic programming

Integrating ontologies and rules on the Semantic Web enables software agents to interoperate between them; however, this leads to two problems. First, reasoning services in SWRL (a combination of OWL and RuleML) are not decidable. Second, no studies have focused on distributed reasoning services for integrating ontologies and rules in multiple knowledge bases. In order to address these problems, we consider distributed reasoning services for ontologies and rules with decidable and effective computation. In this paper, we describe multiple order-sorted logic programming that transfers rigid properties from knowledge bases. Our order-sorted logic contains types (rigid sorts), non-rigid sorts, and unary predicates that distinctly express essential sorts, non-essential sorts, and non-sortal properties. We formalize the order-sorted Horn-clause calculus for such properties in a single knowledge base. This calculus is extended by embedding rigid-property derivation for multiple knowledge bases, each of which can transfer rigid-property information from other knowledge bases. In order to enable the reasoning to be effective and decidable, we design a query-answering system that combines order-sorted linear resolution and rigid-property resolution as top-down algorithms.     

Self-calibration based on invariant view recognition: Dynamic approach to navigation

We extend a dynamic approach of behavior generation to the representation of spatial information. Two levels of dynamics integrate dead-reckoning, dominant far from home bases, and piloting, dominant near home bases. When the view-based piloting system recognizes a home base, visual place information recalibrates the dead-reckoning system, inverting the hierarchical ordering of the two dynamic levels by time scale inversion. Reference views taken at discrete home bases are recognized invariantly under rotation of views. This process yields compass information. Continuous translational information is obtained as a neural place representation built from view correlations with a scattered set of local views. This self-calibrating cognitive map couples into a dynamics of heading direction integrating the behaviors of obstacle avoidance and target acquisition. Targets can be designated in terms of the cognitive map. We demonstrate the dynamical model in simulation.     

ESR—A large knowledge-based system project of european power generation industry

The paper presents an integrated knowledge-based system aimed at providing technical support to engineers performing assessment and management of remaining life of the high-temperature pressurized components, mainly piping, in power plants. The system (ESR) is being developed at MPA Stuttgart (Germany) with support and under sponsorship of seven European electric utility companies. The initial requirements imposed by the utilities have been met by integrating various sources of knowledge, information, and data, as well as various information technology tools and techniques. The expert system modules use both production rules and object-oriented programming (decision/analysis support) and rely strongly on other integrated software: hypermedia (documentation base and explanation facility), numerics (engineering calculi), and data bases (material, standard geometries, etc.).     

Integrating Web-Based Documents, Shared Knowledge Bases, and Information Retrieval for User Help

We describe a prototype system, IKARUS, with which we investigated the potential of integrating web-based documents, shared knowledge bases, and information retrieval for improving knowledge storage and retrieval. As an example, we discuss how to implement both a user manual and an online help system as one system. The following technologies are combined: a web-based design, a frame-based knowledge engine, use of an advanced full-text search engine, and simple techniques to control terminology. We have combined graphical browsing with several unusual forms of text retrieval—for example, to the sentence and paragraph level.     

An MDE-based methodology for closed-world integrity constraint checking in the semantic web

Ontology-based data-centric systems support open-world reasoning. Therefore, for these systems, Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) are not suitable for expressing integrity constraints based on the closed-world assumption. Thus, the requirement of integrating the open-world assumption of OWL/SWRL with closed-world integrity constraint checking is inevitable. SPARQL, recommended by World Wide Web (W3C), is a query language for RDF graphs, and many research studies have shown that it is a perfect candidate for closed-world constraint checking for ontology-based data-centric applications. In this regard, many research studies have been performed to transform integrity constraints into SPARQL queries where some studies have shown the limitations of partial expressivity of knowledge bases while performing the indirect transformations, whereas others are limited to a platform-specific implementation. To address these issues, this paper presents a flexible and formal methodology that employs Model-Driven Engineering (MDE) to model closed-world integrity constraints for open-world reasoning. The proposed approach offers semantic validation of data by expressing integrity constraints at both the model level and the code level. Moreover, straightforward transformations from OWL/SWRL to SPARQL can be performed. Finally, the methodology is demonstrated via a real-world case study of water observations data.