Semantic Web研究综述

近年来 ,SemanticWeb逐渐成为WWW领域的研究热点以及智能化网络服务和应用开发中的关键技术之一。归纳了Se manticWeb技术的研究背景和主要发展历史。在分析了典型的SemanticWeb概念后 ,给出了SemanticWeb的定义。通过讨论SemanticWeb构想的层次框架模型 ,指出了各个层次扮演的角色 ,并着重分析了SemanticWeb的重要研究领域 ,指出了它们在SemanticWeb构架中的核心作用。通过分析SemanticWeb的应用领域和相关开发工具以及面临的问题和挑战 ,指明了SemanticWeb研究和实践的方向。作为总结 ,给出了SemanticWeb领域下一步的研究趋势。

基于Semantic Web的个性化网络导航机制

缺乏信息空间的合理组织和有效的导航机制是网络中"迷航"现象的主要原因.本文将Semantic Web技术应用于网络导航中,利用概念化语义模型对信息内容进行形式化的描述,整合分布式异构信息源,在此基础上映射和建立了用户语义模型,从而构建了个性化、智能化的网络导航机制.

Semantic Web与基于语义的网络信息检索

本文描述网络环境语义检索的需求 ,分析SemanticWeb的组成框架 ,探讨概念集 (ontologies)及其定义和标记语言 ,并介绍基于概念集的信息资源语义标注和语义推理基本过程。

Semantic Web、Agent和网络虚拟社会

This paper tries to discuss one realizable mode of SW(Semantic Web). It is called NVS(Network-Virtual Society). SW is regarded as the next-generation Web. By adding semantics into Web,SW provides interoperability between applications and facilities to enable automated processing of Web resources. Agent will be the executer in the automated process. After analyzing relational theories and technologies, we put forward the concept and mode of NVS,and gives our reason.

信息服务的趋势:Semantic WEB

Web 发展造成了“信息爆炸”和“知识贫乏”的矛盾,基于 XML 和 RDF 发展的语义网是解决这一问题的关键。变“机器可读”为“机器可理解”是语义网的目标,信息服务可以应用语义网的模式和成果,提高搜索的准确率,提供高相关度的个性化服务,构建全新的数字图书馆门户。

World-Wide Semantic Web of Agriculture Knowledge

The rapid increase in the publication of knowledge bases as linked open data （LOD） warrants serious consideration from all concerned, as this phenomenon will potentially scale exponentially. This paper will briefly describe the evolution of the LOD, the emerging world-wide semantic web （WWSW）, and explore the scalability and performance features Of the service oriented architecture that forms the foundation of the semantic technology platform developed at MIMOS Bhd., for addressing the challenges posed by the intelligent future internet. This paper＂ concludes with a review of the current status of the agriculture linked open data.

SemTrust: A Semantic Reputation System in P2P-Based Semantic Web

A reputation mechanism is introduced in P2P- based Semantic Web to solve the problem of lacking trust. It enables Semantic Web to utilize reputation information based on semantic similarity of peers in the network. This approach is evaluated in a simulation of a content sharing system and the experiments show that the system with reputation mechanism outperforms the system without it.

Review of Semantic Web Service Composition Based on OWL-S

By analyzing of the existing Web services,an ontology based on OWL is presented,which has rich semantic information,and the service description language OWL-S based on OWL is put forward. OWL-S through IOPE can describe services,can also combine the service,but the method of combination service is not automatic. So a method is presented by using Situation Calculus for automatic service composition based on the OWL-S model. Finally through the example analysis,the method of automatic service combination was validated.

Semantic Web与Agent的共生及融合

Web技术与Agent技术作为两种技术体系一直独立发展。但现在Web技术借鉴Agent技术的先进思想,基于On tology对Web进行改造,提出了SemanticWeb的概念。在Internet上必将是SemanticWeb和Agent共同提供智能化、个性化的服务。而要想达到这个目的,首先必须解决Ontology的构造问题。文中在详细论述SemanticWeb和Agent的基础上,探讨了SemanticWeb与Agent的共生及融合关系,给出了共生及融合关系图,并设计了一个概念性的智能Web服务IWS模型。

An Automatically Filtering Blacklist Model of Social Network Based on Semantic Web

According to the features of the semantic web technology,it is very suitable to solve the security issue of the current social network environment.Firstly,in this paper,it extends the existing ontology model of the social network with some relevant classes,and introduces a brand new ontology which is used to represent the malicious information.After introducing these models,a method of identifying the malicious message is raised.Finally,the experiments and simulations analyze the feasibility of the whole system.The results validate that the malicious users can be automatically filtered,and some worthy digital evidence can be effectively provided to forensic investigators.

Semantic Web及其在网络知识组织中的应用

介绍了SemanticWeb,将SemanticWeb中本体的概念引入网络知识组织,对网络中的知识按统一的标准进行划分,组织成知识本体的形式进行管理、利用和建立智能查询系统,并通过构造知识本体模型表述了这一知识组织的过程。

Semantic Similarity between Ontologies at Different Scales

In the past decade, existing and new knowledge and datasets have been encoded in different ontologies for semantic web and biomedical research. The size of ontologies is often very large in terms of number of concepts and relationships, which makes the analysis of ontologies and the represented knowledge graph computational and time consuming. As the ontologies of various semantic web and biomedical applications usually show explicit hierarchical structures, it is interesting to explore the trade-offs between ontological scales and preservation/precision of results when we analyze ontologies. This paper presents the first effort of examining the capability of this idea via studying the relationship between scaling biomedical ontologies at different levels and the semantic similarity values. We evaluate the semantic similarity between three gene ontology slims(plant,yeast, and candida, among which the latter two belong to the same kingdom — fungi) using four popular measures commonly applied to biomedical ontologies(Resnik, Lin, Jiang-Conrath,and Sim Rel). The results of this study demonstrate that with proper selection of scaling levels and similarity measures, we can significantly reduce the size of ontologies without losing substantial detail. In particular, the performances of JiangConrath and Lin are more reliable and stable than that of the other two in this experiment, as proven by 1) consistently showing that yeast and candida are more similar(as compared to plant) at different scales, and 2) small deviations of the similarity values after excluding a majority of nodes from several lower scales.This study provides a deeper understanding of the application of semantic similarity to biomedical ontologies, and shed light on how to choose appropriate semantic similarity measures for biomedical engineering.

Using Semantic Web Technologies to Improve the Extract Transform Load Model

Semantic Web(SW)provides new opportunities for the study and application of big data,massive ranges of data sets in varied formats from multiple sources.Related studies focus on potential SW technologies for resolving big data problems,such as structurally and semantically heterogeneous data that result from the variety of data formats(structured,semi-structured,numeric,unstructured text data,email,video,audio,stock ticker).SW offers information semantically both for people and machines to retain the vast volume of data and provide a meaningful output of unstructured data.In the current research,we implement a new semantic Extract Transform Load(ETL)model that uses SW technologies for aggregating,integrating,and representing data as linked data.First,geospatial data resources are aggregated from the internet,and then a semantic ETL model is used to store the aggregated data in a semantic model after converting it to Resource Description Framework(RDF)format for successful integration and representation.The principal contribution of this research is the synthesis,aggregation,and semantic representation of geospatial data to solve problems.A case study of city data is used to illustrate the semantic ETL model’s functionalities.The results show that the proposed model solves the structural and semantic heterogeneity problems in diverse data sources for successful data aggregation,integration,and representation.

基于本体的Semantic Web网络教学平台构建的研究

本体是一种能在语义和知识层次上描述信息系统的概念模型,为了更好整海量的网络教学资源,弥补现有网络教学平台,我们研究基于本体的Semantic web网络教学平台的构建,综合分析了Semantic web网络教学平台的整体框架,介绍教学资源本体的构建。

Machine Learning Meets the Semantic Web

Remarkable progress in research has shown the efficiency of Knowledge Graphs(KGs)in extracting valuable external knowledge in various domains.A Knowledge Graph(KG)can illustrate high-order relations that connect two objects with one or multiple related attributes.The emerging Graph Neural Networks(GNN)can extract both object characteristics and relations from KGs.This paper presents how Machine Learning(ML)meets the Semantic Web and how KGs are related to Neural Networks and Deep Learning.The paper also highlights important aspects of this area of research,discussing open issues such as the bias hidden in KGs at different levels of graph representation。

Towards knowledge-based geovisualisation using Semantic Web technologies:a knowledge representation approach coupling ontologies and rules

Geovisualisation is a knowledge-intensive art in which both providers and users need to possess a wide range of knowledge.Current syntactic approaches to presenting visualisation information lack semantics on the one hand,and on the other hand are too bespoke.Such limitations impede the transfer,interpretation,and reuse of the geovisualisation knowledge.In this paper,we propose a knowledge-based approach to formally represent geovisualisation knowledge in a semantically-enriched and machine-readable manner using Semantic Web technologies.Specifically,we represent knowledge regarding cartographic scale,data portrayal and geometry source,which are three key aspects of geovisualisation in the contemporary web mapping era,coupling ontologies and semantic rules.The knowledge base enables inference for deriving the corresponding geometries and portrayals for visualisation under different conditions.A prototype system is developed in which geospatial linked data are used as underlying data,and some geovisualisation knowledge is formalised into a knowledge base to visualise the data and provide rich semantics to users.The proposed approach can partially form the foundation for the vision of web of knowledge for geovisualisation.

基于Semantic Web的知识服务模式研究

通过分析Semantic Web的概念和主要特征,以及知识整合的流程,引入基于Semantic Web的知识服务层次结构模型、结构的组成和详细内容,并在此基础上详细地阐述了实现该知识服务体系所需的相关关键技术。

Ontology在Semantic Web Services中的应用综述

介绍了Web Services的基本原理和Ontology的基本概念。基于这两种技术的结合,简单描述了多种基于本体的Web语言的发展,并重点阐述其中的OWL语言及其在Web Services中应用OWL-S的主要内容。最后介绍本体在语义web服务中的一些拓展性的应用。

Semantic Web Services架构

近年来，随着电子商务的兴起和蓬勃发展，Web应用从局部化发展到全球化，从B2C（Busiliess—to—Customer）发展到B2B（Busincss—to—Busitiess），从集中式发展到分布式。Web服务作为一种新兴的Web应用模式，是一个崭新的分布式计算模型，是Web上数据和信息集成的有效机制。从电子商务应用领域来看，复杂的应用连接和程序代码造成了电子商务应用的高维护代价和更新代价，而Web服务正好能解决这一问题，成为目前应用环境中最为理想的解决方案。

论概念集及其在Semantic Web中的应用

从概念集的定义出发,讨论了它的内涵及其在信息科学中的应用。在此基础上,着重分析了概念集在语义 Web技术体系中所处的位置,并通过OWL语言来描述在语义Web构建概念集的方法和过程。