共查询到20条相似文献,搜索用时 187 毫秒
1.
2.
语义Web上本体与智能信息Agent的集成研究 总被引:10,自引:0,他引:10
李卫华 《计算机工程与应用》2002,38(16):136-138,156
该文介绍了语义Web新技术,它可以为处理Web信息的智能应用程序提供帮助。文中描述了语义Web的层次结构及其支持语义Web的基础技术如RDF(资源描述框架)和本体(Ontology)等,文章表明,Agent技术与本体的集成会扩展程序能力,更有效地为用户执行任务而较少需要人的干预,也会对Web服务的使用产生重大影响。文中介绍了本体与智能信息Agent结合的应用实例,为用户搜索Web上的服务提供帮助。 相似文献
3.
4.
语义Web是在分布式环境下构建复杂系统的一种新兴技术。在分析语义Web与移动Agent的基础上,提出了基于移动Agent的元数据自动抽取系统模型。该系统由三个层次构成网络信息层、移动Agent平台和元数据提取及管理模块,语义Web为解决元数据信息处理提供了一个基本的技术框架,其中核心层为XML,RDF,Ontology。最后,给出了改进的粒群优化算法作为移动Agent路由判定算法,为下一步研究开发比较成熟的软件产品奠定了良好的基础。 相似文献
5.
语义Web是在分布式环境下构建复杂系统的一种新兴技术。在分析语义Web与移动Agent的基础上,提出了基于移动Agent的语义挖掘系统模型。该系统由三个层次构成:通信网络层、移动Agent平台以及基于语义Web的移动Agent服务,包括推理服务、查询服务、匹配服务、本体服务和语义扩展服务等。并且给出了改进的:粒群优化算法作为移动Agent路由判定算法,为下一步研究开发比较成熟的软件产品奠定了良好的基础。 相似文献
6.
采用基于Ontology的知识表示方法,解决多Agent的知识表示和共享问题,实现知识的自动推理和获取,实现多Agent之间语义理解,体现Agent的智能特征.在多Agent原型旅游系统中,采用OWL描述Ontology定义相关领域的知识表示与推理,为Agent之间的学习、协商,进一步交互通信打下基础. 相似文献
7.
8.
9.
10.
Semantic Web与Agent的共生及融合 总被引:2,自引:0,他引:2
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Ontology对Web进行改造,提出了Semantic Web的概念。在Internet上必将是Semantic Web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Semantic Web和Agent的基础上,探讨了Semantic Web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。 相似文献
11.
Semantic web technologies have shown their effectiveness, especially when it comes to knowledge representation, reasoning, and data integration. However, the original semantic web vision, whereby machine readable web data could be automatically actioned upon by intelligent software web agents, has yet to be realised. In order to better understand the existing technological opportunities and challenges, in this paper we examine the status quo in terms of intelligent software web agents, guided by research with respect to requirements and architectural components, coming from the agents community. We use the identified requirements to both further elaborate on the semantic web agent motivating use case scenario, and to summarise different perspectives on the requirements from the semantic web agent literature. We subsequently propose a hybrid semantic web agent architecture, and use the various components and subcomponents in order to provide a focused discussion in relation to existing semantic web standards and community activities. Finally, we highlight open research opportunities and challenges and take a broader perspective of the research by discussing the potential for intelligent software web agents as an enabling technology for emerging domains, such as digital assistants, cloud computing, and the internet of things. 相似文献
12.
针对智能服务制定与提供过程中时间语义处理难的问题,提出一种面向智能服务系统的时间语义信息理解模型。在自然语言描述的服务消息文本上,实现对时间信息的抽取、映射和语义建模,从而为一般的智能服务系统提供通用的时间语义表达模式。首先,模型采用启发式策略自动抽取时间短语并构建时间信息知识库,无需人工干预;然后,提出一种基于时间基元的时间信息映射方法,实现了绝对时间的量化表达以及相对时间的逻辑推理;最后,综合利用时间信息与上下文信息构建时间语义模型。实验结果表明,该模型在服务自然语言文本测试集上,时间信息抽取准确率高达97.58%,时间信息映射准确率高于85%,语义建模效果良好。 相似文献
13.
14.
15.
In this paper, we propose a novel approach for automatic generation of visualizations from domain‐specific data available on the web. We describe a general system pipeline that combines ontology mapping and probabilistic reasoning techniques. With this approach, a web page is first mapped to a Domain Ontology, which stores the semantics of a specific subject domain (e.g., music charts). The Domain Ontology is then mapped to one or more Visual Representation Ontologies, each of which captures the semantics of a visualization style (e.g., tree maps). To enable the mapping between these two ontologies, we establish a Semantic Bridging Ontology, which specifies the appropriateness of each semantic bridge. Finally each Visual Representation Ontology is mapped to a visualization using an external visualization toolkit. Using this approach, we have developed a prototype software tool, SemViz, as a realisation of this approach. By interfacing its Visual Representation Ontologies with public domain software such as ILOG Discovery and Prefuse, SemViz is able to generate appropriate visualizations automatically from a large collection of popular web pages for music charts without prior knowledge of these web pages. 相似文献
16.
17.
轻量级语义Web服务发现模型的研究 总被引:1,自引:0,他引:1
针对现有多数语义Web服务发现方法应用实施难度大,对终端用户输入信息的完整性依赖度高的问题,提出一种基于简单查询语句的轻量级语义Web服务发现模型。该模型提供给用户一个类似Google的查询界面,输入查询语句后经过领域本体匹配、基于WordNet同义词典匹配等步骤自动发现并调用相应的Web操作。另外,还利用自学机制不断扩充本体词汇以提高系统的准确率和召回率。详细分析了该模型的系统性能,并深入研究了不同情况下准确率和召回率的变化。实验结果表明,本体匹配技术及自学机制的使用是系统准确率和召回率提高的关键。 相似文献
18.
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. 相似文献
19.
20.
Matching web services and client requirements in the form of goals is a significant challenge in the discovery of semantic web services. The most common but unsatisfactory approach to matching is set-based, where both the client and web services declare what objects they require and what objects they can provide. Matching then becomes the simple task of comparing sets of objects. This approach is inadequate because it says nothing about the functionality required by the client or the functionality provided by the web service. As an alternative, we use the Frame Logic as implemented in Flora-2 to specify web service capabilities and client requirements, including their preconditions, postconditions, and ontologies, implement a logic-based discovery agent using Flora-2, demonstrate its usefulness in a medical appointment making scenario, and show its efficiency both theoretically and by benchmarking. The result is an expressive yet concise representation scheme for semantic web services, and a practical, efficient, powerful, and fully implemented matching engine based purely on logical inference for web service discovery, with direct applicability to Web Service Modeling Ontology and Web Service Modeling Language, because both are based on Frame Logic. 相似文献