基于描述逻辑的UML类图一致性检测

为解决UML类图一致性检测问题,分析了UML类图、DLs和OWL DL的特点,给出了UML类图的OWL DL本体表示形式,研究了UML类图转化为OWL DL本体知识库的方法,证明了转化方法的正确性,提出了一种基于描述逻辑的UML类图一致性检测方案.该方案通过将UML类图转换为OWL DL本体知识库,利用OWL DL强大的推理功能实现UML类图一致性检测,最后以实例证明了该方案的可行性.     

基于RDFS的本体集成方法

现实中的数据源一般具有半结构化、异构性和分布性等特点,而许多应用需要对不同的相关数据源进行联合操作。本体集成是解决知识共享、异构数据源语义互操作的有力工具。首先分析了本体集成的原因,提出了本体集成时应遵循的4条基本原则;然后提出了一种基于RDFS图闭包的本体集成方法,该方法将RDFS本体抽象为图模型,根据RDFS推理规则和扩展规则生成RDFS本体的图闭包,在此基础上进行本体集成,同时提出了几种计算实体间相似度的方法。最后,将该方法与FCA-merge和COMA++进行实验对比。     

使用OWL DL形式化表达对象角色建模模型

对象角色建模(ORM)方法已应用于本体工程,因此需要将ORM模型转换为OWL DL公理,以便将ORM本体发布到语义Web上,同时还可使用支持DL的推理机来检查ORM本体的语义一致性和冗余问题。通过模型语义分析、模型等价转换、引入新的运算符和特性等方法,提出将ORM模型形式化表达为OWL DL公理的规则。除了外部唯一约束等四种约束外,其他形态的ORM模型都可以形式化表达为OWL DL公理。     

从ER模式到OWL DL本体的语义保持的翻译

提出了一种从ER模式到OWL DL本体的语义保持的翻译方法.该方法在形式化表示ER模式的基础上,建立ER模式和OWL DL本体之间精确的概念对应,通过一个翻译算法按照一组预定义的映射规则实现模式翻译.理论分析表明,该方法是语义保持的和有效的;算法实现和案例研究进一步证实,完全自动的机器翻译是可实现的.该文方法是原创性的,为Web本体的开发以及数据库和语义Web之间语义互操作的实现开辟了一条有效途径.     

OWL本体关系数据库构建方法

随着本体种类和资源的增加,本体的结构越来越复杂,为了合理地存储各种结构类型的本体、支持高效的本体查询,本文提出了一种基于关系数据库的OWL本体存储方法。该方法通过细致考虑OWL的基本元素,采用与传统的本体分解存储模式不同的构词分类方法,将OWL本体中的类、属性、实例、属性特征和属性约束分别存储在一张二维表中,从而解决了资源与属性值之间的复杂关系问题,并保证了OWL本体存储到关系数据库后语义信息的完整性。最后,利用关系数据库管理系统高效的检索和匹配速度以及SQL语言的高度非过程化,将检索和匹配OWL本体转换成检索关系数据库,弥补了OWL本体数据查询效率低的不足之处。     

Web本体语言的逻辑语义分析的研究

分析了OWL的3个子语言,特别是OWL DL的DL逻辑语义.OWL DL和OWL Lite分别与系的和对应.通过定义本体的传递概念匹配模式,给出了基于该模式的降水量管理知识模型作为DL推理示例.该示例表明深入分析研究OWL的DL语义对增强基于OWL推理能力的应用具有现实意义.     

本体中is-a层次的构建与本体集成

首先给出了本体中is-a层次的构建方法,并提出了is-a层次中删除概念的算法;其次,分析了本体集成的原因,给出了本体集成的分类、三种集成方式和四条集成原则;最后,提出一种基于OWL (Web ontology language)的本体集成算法,实验证明此算法可行.     

基于本体的多数据链集成技术研究

鉴于多种数据链并存的现状,需要解决多种数据链的集成问题,以充分发挥各数据链的作用。本文主要研究了多数据链消息的集成技术,提出了一种基于本体的消息集成方法,先采用XML对消息进行描述,然后将该XML文档转换成OWL文档,通过本体映射可以实现消息集成。     

基于本体的多数据链集成技术研究

鉴于多种数据链并存的现状,需要解决多种数据链的集成问题,以充分发挥各数据链的作用。本文主要研究了多数据链消息的集成技术,提出了一种基于本体的消息集成方法,先采用XML对消息进行描述,然后将该XML文档转换成OWL文档,通过本体映射可以实现消息集成。     

本体中is a层次的构建与本体集成*

首先给出了本体中isa层次的构建方法,并提出了isa层次中删除概念的算法;其次,分析了本体集成的原因,给出了本体集成的分类、三种集成方式和四条集成原则;最后,提出一种基于OWL (Web ontology language)的本体集成算法,实验证明此算法可行。     

Methodology and intermediate layer for the automatic creation of ontology instances stored in relational databases

In this paper, we introduce our solution for mapping local ontologies to relational and object‐oriented representations. This solution is part of the GeoNis framework for the interoperability of geo‐information systems applications in a local community environment. The GeoNis framework is based on a hybrid ontology approach for data integration. Therefore, a very important subject in our research on semantic data integration is the creation of mapping between a spatial information source and its local ontology. We developed the OWL2RDB mapping language to create an intermediate layer between a relational database and the OWL ontology. This intermediate layer contains rules (expressed in the OWL2RDB language) for mapping between the structural elements of a relational database and the concepts of OWL ontologies. We also present a system that uses the OWL2RDB intermediate layer to create classes that can handle ontology instances stored in relational databases. We have developed a prototype for a tool that uses this proposed approach for the automatic generation of translator/wrapper components in the GeoNis interoperability environment. Copyright © 2012 John Wiley & Sons, Ltd.     

Identification and resolution of conflicts during ontological integration using rules

Abstract: Integration of ontologies of information sources and consumers is an important phase in achieving web‐based interoperability. The present work describes an approach for identifying certain semantic conflicts while integrating ontologies of heterogeneous information sources. This paper is focused on the identification of homonymy and synonymy between elements in ontologies. In the present work the concepts of homonymy and synonymy are synonymous to naming conflicts and entity identifier conflicts, respectively, and partial synonymy is synonymous to schema isomorphism conflicts. The concept of the mask of interoperability is introduced for the identification of synonymy. The mask of interoperability is expressed in a declarative way as a set of rules, which can then be used for resolution of conflicts during integration of ontologies. As proof of concept, ontologies are implemented using the XML‐based ontology language Ontology Web Language (OWL), and the rules are implemented using the emerging rule language Semantic Web Rule Language (SWRL). This representation in OWL and SWRL allows the ontology to be executable, flexibly extendable and platform‐independent. The OWL facts and SWRL rules are used by the Jess and Bossam reasoning engine to identify semantic homonymy and synonymy.     

一种关系数据库到本体的自动构建方法

随着语义网的发展,对本体的需要也越来越大。但是目前大多数的数据被存储在关系数据库中,这些数据不能被语义网应用程序所访问。因此如何将关系数据中的数据转化为可以被语义网应用的数据,是一个需要解决的问题。针对上述问题,提出了一种从数据库自动地构建OWL本体的方法。该方法把本体构建过程分为语义信息的发现和本体映射两个部分。并且定义了一种图M-Graph,通过M-Graph的生成与分析,结合映射规则自动地构建OWL本体。实验验证,该方法可自动地由关系数据库构建OWL本体,并且可以得到相对丰富和准确的本体。     

基于语义网规则语言的推理机制框架设计

分析了本体描述语言OWL DL在表达能力上局限于描述逻辑的缺陷以及语义网规则语言(semantic web rule language,SWRL)的特点,在已有时本体和规则结合推理的研究基础上,提出了一个基于SWRL的推理机制框架.该框架在OWL本体中引入了规则的表示,弥补了OWLDL在推理机制上的不足,经该框架推导出的新本体在原本体的基础上增加了概念间的语义关联,将隐性知识显示化,完善了本体知识库的内容.在语义Web领域,该框架的应用能够提高本体知识的利用率.     

A Rule-Based Object-Oriented OWL Reasoner

In this paper, we describe O-DEVICE, a memory-based knowledge-based system for reasoning and querying OWL ontologies by implementing RDF/OWL entailments in the form of production rules in order to apply the formal semantics of the language. Our approach is based on a transformation procedure of OWL ontologies into an object-oriented schema and the application of inference production rules over the generated objects in order to implement the various semantics of OWL. In order to enhance the performance of the system, we introduce a dynamic approach of generating production rules for ABOX reasoning and an incremental approach of loading ontologies. O-DEVICE is built over the CLIPS production rule system, using the object-oriented language COOL to model and handle ontology concepts and RDF resources. One of the contributions of our work is that we enable a well-known and efficient production rule system to handle OWL ontologies. We argue that although native OWL rule reasoners may process ontology information faster, they lack some of the key features that rule systems offer, such as the efficient manipulation of the information through complex rule programs. We present a comparison of our system with other OWL reasoners, showing that O-DEVICE can constitute a practical rule environment for ontology manipulation.     

OWL本体到关系数据库模式的映射

通过对现有本体存储模式的分析,以及对OWl本体和关系数据库模式之间的概念对应关系的分析,定义了从OWL本体到关系数据库模式的转换规则,给出了OWL本体存储模式的设计原则,并基于该原则提出了一种新的本体存储模式.针对本体描述语言OWL的构词特点,该模式提出将本体中的语义信息存放在不同的表中,以达到方便理解、结构稳定和提高效率的目的,适应于多数中小型本体的存储.     

Automatic extraction of OWL ontologies from UML class diagrams: a semantics-preserving approach

Full implementation of the Semantic Web requires widespread availability of OWL ontologies. Manual ontology development using current OWL editors remains a tedious and cumbersome task that requires significant understanding of the new ontology language and can easily result in a knowledge acquisition bottleneck. On the other hand, abundant domain knowledge has been specified by existing database schemata such as UML class diagrams. Thus developing an automatic tool for extracting OWL ontologies from existing UML class diagrams is helpful to Web ontology development. In this paper we propose an automatic, semantics-preserving approach for extracting OWL ontologies from existing UML class diagrams. This approach establishes a precise conceptual correspondence between UML and OWL through a semantics-preserving schema translation algorithm. The experiments with our implemented prototype tool, UML2OWL, show that the proposed approach is effective and a fully automatic ontology extraction is achievable. The proposed approach and tool will facilitate the development of Web ontologies and the realization of semantic interoperations between existing Web database applications and the Semantic Web.