基于本体的异构数据集成框架

针对电力系统数据集成中存在的语义异构问题,提出一种基于本体的数据集成框架。依据电力参数估计系统的数据需求模型,分析数据集成存在的语义冲突类型,在传统数据集成框架的数据集成中间件模块中加入本体语义描述模块。采用本体描述信息资源域中的概念,通过实现语义冲突主动发现并构建语义映射关系。实验结果表明,该框架能有效解决数据集成过程中的语义异构问题。     

基于本体的异构数据集成方法研究

将本体应用于异构数据集成领域,阐述了如何利用本体技术解决语义异构问题,给出了基于混合本体的异构数据集成架构,并对架构的层次结构及关键技术,包括本体构建、查询处理问题等进行了研究。     

基于本体的异构数据集成的研究

随着计算机技术的发展,很多企业内部实现了信息的计算机管理,积累了大量的数据.这些数据存在异构现象,相互之间难以集成和共享.传统的数据集成方法已经不能适应企业获取信息的需求,迫切需要一种新的数据集成系统.在XML技术基础上,提出一种基于本体的异构数据集成系统,用来解决数据源之间的语义异构问题.给出一种基于本体的异构数据集成的系统结构,对关键技术问题进行了研究,指出了系统今后研究的方向.     

基于本体的异构数据集成研究

分析了现有的异构数据集成中存在的语义异构问题,提出了一种基于本体的异构数据集成系统框架,并给出了关键模块的设计。     

改进的混合本体异构数据集成方法研究

针对混合本体结构在异构集成系统扩展性上的不足,在形式化描述数据源及其本体结构的基础上,分析了基于本体的数据源设计过程,提出了两种数据源集成操作来吸收自治数据源中的特化概念来扩展全局本体,并将数据源实例投影到全局本体.系统集成操作分析表明了该方法既保证数据源设计的自治性,又使得系统拥有良好的扩展性.     

基于本体的多源异构数据集成方法研究

本体是描述概念及概念之间关系的概念模型,通过概念之间的关系来描述概念的语义.作为一种有效表现概念层次结构和语义的模型,本体在异构数据集成中得到广泛的应用.文章提出一种利用本体进行异构数据集成的方案,给出了集成系统的总体设计框架,对本体创建、本体映射等关键技术进行了研究和设计,并使用OWL描述本体及进行推理.     

异构本体集成中基于视图的映射方法

对现有本体映射方法进行比较和分析后,提出了一种基于视图的映射方法。本体视图实际上是对本体的抽取,即本体的一种应用模式。作为对用户知识的反映它不仅增加了本体映射的可理解性和清晰性,同时也简化了用户对信息的检索。通过构造本体视图间的双向映射关系,既保证了信息查找和定位准确、高效,又提高了映射关系的可扩展性,使本体映射更适合动态变化的信息环境。     

异构安全数据集成的本体建模方法研究

异构安全数据集成对安全信息共享和安全业务协同处理具有重要意义,是数据集成领域的一个重要方向。在分析异构安全数据现状的基础上,研究了现有的基于本体的数据集成建模方法和异构系统间实现安全策略的协同。通过对本体语言OWL进行安全性扩展,提出了一个异构安全数据的本体建模方法并通过实例进行了验证。     

基于本体的异构数据集成方法及其实现

分析了传统异构数据集成中存在的困难,给出一个改进的基于本体的异构数据集成方法.该方法采用本体描述信息源领域中的概念,通过构建语义映射关系,解决数据集成中存在的语义异构问题.     

基于混合本体的保险公司数据集成研究

参照"Mediator/Wrapper"体系结构,利用混合本体的概念设计了基于本体的保险企业数据集成模型,以六元组的方式为例完成了对保险公司新型人寿保险信息的混合本体定义.利用本体技术通过领域建模描述该领域的概念及其相互关系,可以有效地完成保险公司异构数据的集成和深层的数据共享,提供统一的信息查询及用户视图,进而提高保险公司管理支持和决策的可靠性和准确性.     

基于Hibernate实现对异构数据库的集成

利用面向对象的hibernate数据访问技术,不但可以利用动态的数据库配置来实现不同物理位置的数据的透明访问,本文通过分析数据集成中数据主题域的划分,建立一套与物理数据结构隔离的数据对象,在此基础上利用类的反射机制的实现算法定义了一套统一的数据访问接口,消除了数据集成中对物理数据结构的依赖。     

An integration approach of hybrid databases based on SQL in cloud computing environment

As the applications with big data in cloud computing environment grow, many existing systems expect to expand their service to support the dramatic increase of data, and modern software development for services computing and cloud computing software systems is no longer based on a single database but on existing multidatabases and this convergence needs new software architecture design. This paper proposes an integration approach to support hybrid database architecture, including MySQL, MongoDB, and Redis, to make it possible of allowing users to query data simultaneously from both relational SQL systems and NoSQL systems in a single SQL query. Two mechanisms are provided for constructing Redis's indexes and semantic transforming between SQL and MongoDB API to add the SQL feature for these NoSQL databases. With the proposed approach, hybrid database systems can be performed in a flexible manner, ie, access can be either relational database or NoSQL, depending on the size of data. The approach can effectively reduce development complexity and improve development efficiency of the software systems with multidatabases. This is the result of further research on the related topic, which fills the gap ignored by relevant scholars in this field to make a little contribution to the further development of NoSQL technology.     

Semantic business process integration based on ontology alignment

Innovation and agility should be provided to businesses by efficient collaboration (i.e., communication and sharing) between them. However, semantic heterogeneity between business processes is a serious problem for automatically supporting cooperation processes (e.g., knowledge sharing and querying-based interactions) between businesses. In order to overcome this problem, we propose a novel framework based on aligning business ontologies for integrating heterogeneous business processes. We can consider two types of alignment processes; (i) manual alignment for building a whole business process ontology in a business process management (BPM) system and (ii) automated alignment between business processes of different BPM systems. Thereby, the optimal integration between two business processes has to be discovered to maximize the summation of a set of partial similarities between semantic components consisting of the business processes. In particular, the semantic component are extracted from semantic annotations of business processes. For evaluating the proposed system, we have conducted experimentations by using 22 business process management systems, which are organized as six business alliances. We have assumed that business processes in a same BPM system should be built with a common ontologies. The proposed alignment method has shown about 71.3% of precision (65.4% of recall). In addition, we found out that alignment results are dependent on some characteristics of ontologies (e.g., depth and number of classes).     

基于本体的信息集成技术研究

随着语义网技术的飞速发展,本体起了越来越重要的作用。在信息集成的过程中,本体作为一种工具解决了分布式异构信息源的语义异构问题,实现了信息源语义上的互操作。该文介绍了一种基于混合本体的信息集成方法,通过全局本体和局部本体之间的映射,向用户提供获取数据的统一接口,使用户获得语义上相关的数据。     

基于ontology的分布式异构数据库集成研究

在分析比较了几种异构、分布数据访问技术的基础上,设计实现了一个分布式异构数据库集成系统,该系统与以往系统不同的是采用ontology技术解决语义冲突问题,运用XML技术屏蔽结构异构,以Web Service来实现网络的平滑传输,从而可以更好地实现分布式异构数据库的集成.     

An ontology based approach to the integration of entity–relationship schemas

In schema integration, schematic discrepancies occur when data in one database correspond to metadata in another. We explicitly declare the context that is the meta information relating to the source, classification, property etc. of entities, relationships or attribute values in entity–relationship (ER) schemas. We present algorithms to resolve schematic discrepancies by transforming metadata into the attribute values of entity types, keeping the information and constraints of original schemas. Although focusing on the resolution of schematic discrepancies, our technique works seamlessly with the existing techniques resolving other semantic heterogeneities in schema integration.     

A hybrid ontology approach for integration of obsolescence information

Information sharing among distributed obsolescence management systems is a challenge because of the heterogeneity of data (data with different forms and representations). Indeed, this is the main hurdle that exists for current tools managing product obsolescence. This paper presents a hybrid ontology approach for the integration of obsolescence information that combines a global ontology that provides a shared vocabulary for the specification of the semantics of obsolescence domain knowledge, along with local ontologies that describe structures of multiple data sources distributed in various obsolescence management tools. A procedure is provided for mapping local ontologies to the global ontology by quantifying relationships between classes and identifying groups of classes with a clustering method. Ontologies and rules of identifying relationships are realized with OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language). With the application of the hybrid ontology approach, a unified view of data is provided to support decision making for efficient obsolescence management and a structure where new sources of information can be easily added with little modification in the future.     

Using ontology databases for scalable query answering,inconsistency detection,and data integration

An ontology database is a basic relational database management system that models an ontology plus its instances. To reason over the transitive closure of instances in the subsumption hierarchy, for example, an ontology database can either unfold views at query time or propagate assertions using triggers at load time. In this paper, we use existing benchmarks to evaluate our method—using triggers—and we demonstrate that by forward computing inferences, we not only improve query time, but the improvement appears to cost only more space (not time). However, we go on to show that the true penalties were simply opaque to the benchmark, i.e., the benchmark inadequately captures load-time costs. We have applied our methods to two case studies in biomedicine, using ontologies and data from genetics and neuroscience to illustrate two important applications: first, ontology databases answer ontology-based queries effectively; second, using triggers, ontology databases detect instance-based inconsistencies—something not possible using views. Finally, we demonstrate how to extend our methods to perform data integration across multiple, distributed ontology databases.     

基于XML技术的异构关系数据库集成模型

为了有效解决网络环境中异构数据库数据集成问题,分析了异构数据库集成的现状,提出了一种基于XML技术的异构关系数据库数据集成模型.该模型由异构数据库层、集成中间件层,应用层3部分组成;阐述了该模型各个部分的功能,讨论了集成中间件层的实现;详细地介绍了数据库和XML之间相互映射规则,并给出了它们之间的具体转换过程.在集成中间件的基础上,设计了某信息管理服务系统软件,表明了该中间件的可行性.