基于领域本体的信息抽取系统的设计与实现

为了实现提高信息抽取过程中的准确率与覆盖率,在信息抽取检索系统中,引入了领域本体。本文介绍了本体、领域本体的一些基本概念,同时并讨论了领域本体与信息抽取存在的一些映射关系。在本信息抽取原型系统中实现了手机领域本体,并将该领域本体应用到信息抽取中去。     

基于SSOA的信息资源平台服务整合方案研究——以轨道交通领域为例

以轨道交通为例,阐述了领域信息资源整合平台的建设过程中面临的信息资源跨专业、多功能、跨组织、多种类型等问题。这些问题使其面临技术实现架构上的复杂性。针对问题提出了一套基于语义网（Semantic Web）和SOA等技术的基础信息平台建设架构。架构整体以具体领域本体为基础,一方面将本体应用于服务资源的描述,另一方面通过使用具有语义的信息资源整合方式构建信息平台顶层逻辑。设计实现了物理上分布,逻辑上统一的具备多样化服务功能的信息资源平台架构。     

基于SSOA的信息资源平台服务整合方案研究——以轨道交通领域为例

以轨道交通为例,阐述了领域信息资源整合平台的建设过程中面临的信息资源跨专业、多功能、跨组织、多种类型等问题.这些问题使其面临技术实现架构上的复杂性.针对问题提出了一套基于语义网(Semantic Web)和SOA等技术的基础信息平台建设架构.架构整体以具体领域本体为基础,一方面将本体应用于服务资源的描述,另一方面通过使用具有语义的信息资源整合方式构建信息平台顶层逻辑.设计实现了物理上分布,逻辑上统一的具备多样化服务功能的信息资源平台架构.     

基于本体的气象领域聚焦爬虫

本文提出了基于本体的气象领域聚焦爬虫,首先利用Protégé工具构建气象领域本体,将本体作为领域知识库引入到聚焦爬虫中,然后,利用本体中的概念和概念关系判断所抓取的网页是否与气象领域相关,大大提高了抓取相关网页的准确度。最后,通过实验对整个爬虫进行验证。实验结果表明,本文所提出的实现方法在抓取气象领域网页信息方面是有效的。     

基于领域本体的P2P网络检索算法研究

针对P2P网络检索质量差的问题,提出了一种基于领域本体的P2P网络检索算法.该算法设计了一个共享的节点本体,用RDF工具对节点进行语义抽取和知识表示,同时给出相应的查询表示及语义相似性计算方法.实验结果表明,该算法能够有效地提高检索质量.     

SWEET本体研究述评

SWEET本体是规范地球科学概念空间的重要本体,也是本体技术应用于地理学的成功案例。SWEET本体的内容基本涵盖了地球系统科学的主要研究范畴,并通过可扩展性设计保证不断增补学科领域的新知识,为实现基于语义网和Web服务（SwS）的e—Science发展奠定了地球系统科学知识重用和资源共享的基础。文章详细阐述了SWEET本体研究与建设的背景、语言基础、建设原则、版本演进、现状与趋势等,旨在为国内本体研究和地理本体相关领域的研究工作提供借鉴。     

国内语义出版领域相关概念研究综述

语义出版是基于传统互联网技术和语义网技术,结合自然语言处理、本体和信息可视化技术而发展起来的一种新兴出版形态,是数字出版的高级形式.本文以中国知网、万方、维普三大中文数据库为检索平台,收集了三大数据库在语义出版领域的研究文献,梳理了语义出版的概念及发展历程,对语义出版相关概念,可视化出版、互动出版、增强出版等进行辨别,以期能对当下语义出版领域的发展现状作出分析,为语义出版的未来发展趋势作出预测.     

机械零件本体化语义建模研究

零件信息的描述是制约着知识共享的瓶颈之一。在了解本体建模和几种零件信息描述的方法基础之上,研究了基于本体的零件信息描述方法,同时以法兰盘借助protege3.1.1构建了其本体模型,总结出了建立本体模型的一般步骤;最后对其用途作了介绍。     

本体理论研究初探

本体最早是哲学上的概念,20世纪90年代以来,本体的概念被引入到人工智能、知识工程和信息管理系统等领域,从而拓展了本体的含义.本体是概念及概念间关系的描述,通过概念之间的关系来描述对象的语义.本文通过介绍本体的相关概念,促使不同领域间信息的交流.     

本体理论研究初探

本体最早是哲学上的概念，20世纪90年代以来，本体的概念被引入到人工智能、知识工程和信息管理系统等领域，从而拓展了本体的含义。本体是概念及概念间关系的描述，通过概念之间的关系来描述对象的语义。本文通过介绍本体的相关概念，促使不同领域间信息的交流。     

物流本体数据库的应用研究

文章以利用Protege和SQL Server 2000相结合,构建物流本体数据库为例,充分利用DBMS特点,弥补检索与匹配BDF或OWL本体数据效率低的不足,给出创建与应用本体数据库的模式,为物流领域的不同企业、不同部门之间管理语义异构、结构异构的数据提供了一种全新的方式,并体验物流本体技术在物流领域的应用价值.     

客户服务领域本体建模研究

本体是对领域中的概念及概念间的关系的描述,通过概念之间的关系来描述对象的语义。对客户服务领域知识进行本体建模,有利于知识的共享和检索。本文介绍了本体建模的基本步骤,并结合对客户服务领域知识的分析,给出了客户服务领域的本体模型。     

The Symbiosis of the Urban and the Political

Historically, the urban was the condition of possibility for the political, but the symbiosis of the two has been concealed by the rise of the state and the concomitant development of the social sciences. The effort to recover the connection by denoting a separate domain of ‘urban politics’ is self‐defeating, because it re‐instantiates an ontology of the political that consigns the urban to the domain of ‘low’ politics. The dominant ontology suggests that ‘high’ politics — the most serious politics or politics proper — is always in the domain of states and empires, and that everything else is subject to it. This view is constantly reaffirmed by the political theory that underpins the state system and the modern social sciences. Nevertheless, a different ontology of the political is always already implicit in the concept of the city, understood as a local phenomenon and a global way of life. To see the political through the city is to notice how proximate diversity stimulates self‐organization and self‐government, generates politics in and between authorities in different registers, and defers the sovereignty claims it produces. On this view, the urban is neither high nor low, but is instead the very form of the political, encompassing states and empires as much as anything else.     

A web-based system architecture for ontology-based data integration in the domain of IT benchmarking

In the domain of IT benchmarking (ITBM), a variety of data and information are collected. Although these data serve as the basis for business analyses, no unified semantic representation of such data yet exists. Consequently, data analysis across different distributed data sets and different benchmarks is almost impossible. This paper presents a system architecture and prototypical implementation for an integrated data management of distributed databases based on a domain-specific ontology. To preserve the semantic meaning of the data, the ITBM ontology is linked to data sources and functions as the central concept for database access. Thus, additional databases can be integrated by linking them to this domain-specific ontology and are directly available for further business analyses. Moreover, the web-based system supports the process of mapping ontology concepts to external databases by introducing a semi-automatic mapping recommender and by visualizing possible mapping candidates. The system also provides a natural language interface to easily query linked databases. The expected result of this ontology-based approach of knowledge representation and data access is an increase in knowledge and data sharing in this domain, which will enhance existing business analysis methods.     

地理信息模型资源标准化共享框架

模型资源是增强地理信息服务能力的关键内核。地理信息模型资源的专业特性区别于普遍的信息资源,其共享与集成给标准化提出了新课题。文章在对大量文献综述的基础上,分析了地理信息模型资源的标准化共享存在的问题与紧迫需求,从模型分解、模型描述、模型分类与编码和模型本体与本体库构建等方面,提出了地理信息模型资源标准化共享的基本框架。     

An approach for formalising the supply chain operations

Reference models play an important role in the knowledge management of the various complex collaboration domains (such as supply chain networks). However, they often show a lack of semantic precision and, they are sometimes incomplete. In this article, we present an approach to overcome semantic inconsistencies and incompleteness of the Supply Chain Operations Reference (SCOR) model and hence improve its usefulness and expand the application domain. First, we describe a literal web ontology language (OWL) specification of SCOR concepts (and related tools) built with the intention to preserve the original approach in the classification of process reference model entities, and hence enable the effectiveness of usage in original contexts. Next, we demonstrate the system for its exploitation, in specific – tools for SCOR framework browsing and rapid supply chain process configuration. Then, we describe the SCOR-Full ontology, its relations with relevant domain ontology and show how it can be exploited for improvement of SCOR ontological framework competence. Finally, we elaborate the potential impact of the presented approach, to interoperability of systems in supply chain networks.     

基于本体的软件企业知识管理

当前社会处于知识经济时代,有效管理经验知识至关重要。而软件企业作为知识型产业尤为突现出管理知识的重要性。本文通过对软件企业的过程、活动、产品以及人员进行分析,确立了软件企业的知识管理领域本体,采用了OWL(Web本体语言)对本体进行形式化表示,并将所建立的知识管理领域本体运用于软件企业的知识管理系统中。     

基于多Agent的装备信息集成技术研究

为了解决在网络环境中装备信息的异构集成与共享问题,本文提出了基于多Agent的装备信息集成系统框架模型。该模型运用本体来实现装备领域各异构信息在语义上的共享;运用多Agent系统的自主能力、社交能力、反映能力和智能行为,使该模型具有了良好的开放性、集成性和自适应性,提高了装备信息集成系统的整体性能和实用性。     

An effective framework for finding similar cases of dengue from audio and text data using domain thesaurus and case base reasoning

Dengue, also known as break-bone fever, is a tropical disease transmitted by mosquitoes. If the similarity between dengue infected users can be identified, it can help government’s health agencies to manage the outbreak more effectively. To find similarity between cases affected by Dengue, user’s personal and health information are the two fundamental requirements. Identification of similar symptoms, causes, effects, predictions and treatment procedures, is important. In this paper, an effective framework is proposed which finds similar patients suffering from dengue using keyword aware domain thesaurus and case base reasoning method. This paper focuses on the use of ontology dependent domain thesaurus technique to extract relevant keywords and then build cases with the help of case base reasoning method. Similar cases can be shared with users, nearby hospitals and health organizations to manage the problem more adequately. Two million case bases were generated to test the proposed similarity method. Experimental evaluations of proposed framework resulted in high accuracy and low error rate for finding similar cases of dengue as compared to UPCC and IPCC algorithms. The framework developed in this paper is for dengue but can easily be extended to other domains also.