一种P2P环境中基于语义的Web服务组合方法

Web服务组合研究是Web服务领域一个研究热点。本文利用0WL-S语言对Web服务进行描述,提高Web服务的机器可理解性,并利用语义信息进行Web服务组合操作。文中提出一个在JXTA环境中实现Web服务组合的模型,在其上实现了一个基于语义的Web服务组合方法,并通过一个简单的实例说明语义Web服务组合的具体过程。     

语义网服务中的本体集成框架

分析语义网服务中存在的各种本体异构,明确语义网服务中本体集成的主要研究方向.在此基础上,提出一个语义网服务模型下的本体集成框架,讨论其中数据层中介器和Web服务中介器的结构并阐明其工作机制,为全面解决语义网服务环境下的本体集成问题提供了一种新的思路.     

语义Web服务的OWL—S描述及其应用

实现语义Web服务的关键是对Web服务进行语义描述及其在语义检索模型中的应用.国外学术界提出的语义Web服务的OWL-S框架并没有充分考虑检索请求的中西语言表达的差异,因此该框架的实际应用必须对中文查询请求进行中文分词处理.语义Web服务的OWL-S检索模型,首先对中文检索请求语句进行中文分词,然后通过本体进行语义标注生成Web服务请求的OWL-S文档,继而在OWL-S语义扩展后的UDDI中实施语义检索匹配.该模型在中文分词的基础上,结合语义Web服务技术实现Web服务的动态查找与组合,可提高Web服务的查全率和查准率.     

基于深度优先搜索的Web服务合成算法

本文通过提取Web服务的语义信息,研究了语义Web服务合成问题。Web服务合成的关键是对候选Web服务的输入输出数据关系进行建模,以及有效地利用这些已有的数据依赖关系实现服务合成请求。通过构建Web服务的依赖图,提出了一种基于图论中深度优先搜索的Web服务合成算法,以获取满足特定要求的Web服务。     

在Web Services动态组合方面的OWL-S语义扩展

Web服务的日益广泛和语义Web研究的不断深入,使得利用本体语言自动处理各种Web服务任务成为可能.回顾了Web服务的主要思想和基本概念,指出了其在描述Web服务的语义信息方面的不足,从而说明在Web服务研究中引入语义Web的目的.介绍了描述Web服务语义信息的本体语言OWL-S,并针对OWL-S在描述Web服务动态组合方面能力的不足,尝试利用情形演算理论扩展其该方面的语义描述能力,使本体语言能够满足Web服务动态组合的需要.对最终实现基于语义的Web服务的动态组合具有积极意义.     

P2P环境下基于语义的Web服务组合研究

利用OWL-S语言描述Web服务,在组合操作中加入语义信息,实现了Web服务组合的自动化。为了提高Web服务的搜索速度,采用Chord路由算法。构建了一个P2P环境下基于Chord网络的Web服务组合模型,在其上实现了基于语义的Web服务组合,最后通过实例给出了语义Web服务自动组合过程。     

基于WSRF的供应链管理信息系统

为构建一个分布式、集成化的数据环境,实现信息共享的供应链管理信息系统,提出基于Web服务资源框架(WSRF)的供应链管理信息系统模型。在该模型中利用Web服务资源对供应链资源进行建模,并利用WSRF架构解决组织内以及组织间的异构系统整合问题,从而加速供应链成员间的信息流动。     

一种自适应的Web图像语义自动标注方法

提出了一种自适应的Web图像语义自动标注方法:首先利用Web标签资源自动获取训练数据;然后通过带约束的分段惩罚加权回归模型将关联文本权重分布自适应学习和先验知识约束有机地结合在一起,实现Web图像语义的自动标注.在4 000幅从Web获得的图像数据集上的实验结果验证了该文自动获取训练集方法以及Web图像语义标注方法的有效性.     

智能机器人服务环境下传感数据映射及服务组合方法研究

为了提高传感器数据信息可利用性和机器人服务的智能性,针对动态异构智能空间提出基于SSN(语义传感器网络)本体的传感器数据映射方法和Web服务组合方法.首先,利用SSN本体技术建立智能空间中的传感器数据本体模型,通过传感器标注和语义映射语言(SASML)自动将动态传感器数据映射进SSN本体文件,实现物理-信息的转换.在此基础上,利用面向服务计算的思想,采用Web服务技术将空间设备功能封装成统一的接口,建立智能空间服务模型.最后,采用无回溯反向链(NBBC)算法实现动态Web服务组合,以实现提供复杂服务的能力.智能空间背景下的系统运行实验结果表明,构建的SSN本体模型能够有效融合传感器数据信息,实现的服务组合算法能够将单个简单服务组件组合成具有复杂功能的服务序列,从而进一步提高机器人服务的智能性.     

语义网服务中的本体综述

作为实现下一代Web的集成方案,语义网服务将语义Web技术和Web服务技术相结合,以支持Web服务的自动发现、选择、合成和执行.本体是语义网服务的理论基础.介绍了Web资源描述本体OWL和Web服务描述本体的概况,并对3种主流的Web服务语义描述框架进行对比分析,为语义网服务中本体的创建提供基础知识.研究了语义网服务中存在的各层次的本体异构问题,明确了语义网服务中本体集成的主要研究方向.     

Using the web infrastructure to preserve web pages

To date, most of the focus regarding digital preservation has been on replicating copies of the resources to be preserved from the “living web” and placing them in an archive for controlled curation. Once inside an archive, the resources are subject to careful processes of refreshing (making additional copies to new media) and migrating (conversion to new formats and applications). For small numbers of resources of known value, this is a practical and worthwhile approach to digital preservation. However, due to the infrastructure costs (storage, networks, machines) and more importantly the human management costs, this approach is unsuitable for web scale preservation. The result is that difficult decisions need to be made as to what is saved and what is not saved. We provide an overview of our ongoing research projects that focus on using the “web infrastructure” to provide preservation capabilities for web pages and examine the overlap these approaches have with the field of information retrieval. The common characteristic of the projects is they creatively employ the web infrastructure to provide shallow but broad preservation capability for all web pages. These approaches are not intended to replace conventional archiving approaches, but rather they focus on providing at least some form of archival capability for the mass of web pages that may prove to have value in the future. We characterize the preservation approaches by the level of effort required by the web administrator: web sites are reconstructed from the caches of search engines (“lazy preservation”); lexical signatures are used to find the same or similar pages elsewhere on the web (“just-in-time preservation”); resources are pushed to other sites using NNTP newsgroups and SMTP email attachments (“shared infrastructure preservation”); and an Apache module is used to provide OAI-PMH access to MPEG-21 DIDL representations of web pages (“web server enhanced preservation”).     

嵌入式Web服务器中动态Web技术的研究

为了实现嵌入式Web服务器中的动态Web功能,讨论了适用于嵌入式环境的CGI与SSI技术,在分析其优缺点的基础上提出了CGI与SSI技术相结合的"扩展CGF解决方案.该方法克服了CGI方式可维护性差的缺点,减少了服务器生成动态页面时的开销.在成功设计扩展CGI的基础上,给出了嵌入式Web服务器的具体实现方法.实验结果表明了设计的可行性和有效性.该方法具有结构清晰、合理利用嵌入式系统资源和易于开发与维护的特点.     

基于Web日志挖掘的个性化服务技术的研究

随着互联网的迅速普及和广泛应用,网络信息资源的数量及网站设计的复杂度也呈急剧增长趋势。如今,针对用户特性并向用户提供个性化服务已经成为计算机技术的研究热点之一。本文首先简述了Web日志挖掘的相关概念和具体实现过程,然后重点讲述了Web日志挖掘的关键技术。最后采用了用户群体聚类算法与Web页面聚类算法相结合实现挖掘用户访问模式,并针对个性化服务的应用和发展方向进行了研究和分析。     

关于Web服务组合的有效Web服务发现机制

随着Web Services的广泛流行,怎样发现适当Web Services来支持Web Services的组合已经成为一种挑战.由于传统的关键字搜索具有太低的记忆性和精确性,因此这种方法是很低效的.基于Web Services的描述信息,介绍了一种有效的Web Services发现机制.此服务发现方法是简单可用的,通过引入语义变得十分高效,因此该机制成功的在服务组合模型上得到了实现.     

SERFing the web: The Re-Web approach for web re-structuring

In our emerging digital paper-less society, massive amount of information is being maintained in on-line repositories and diverse web site representations of this information must be served over the Internet to different user groups. E-commerce and digital libraries are two representative sample applications with such needs. In this paper we present a database-centric approach called Re-Web that addresses this need for flexible web site generation, re-structuring, and maintenance. Re-Web is based on two key ideas. First, we exploit the web site structure by associating web semantics (XML equivalents) with the modeling constructs of the ODMG object model to aid the web site generation process. By capturing the logical structure of web views within the OODB system, we can efficiently maintain the web views using standard database techniques. Secondly, to ease the process of specification and construction of multiple customized web view sites, we also propose the notion of generic web view transformations that are encapsulated into re-usable templates. Thus desired new web view sites can be generated simply by applying the corresponding transformations on the underlying database to produce web view classes and then by applying the web semantics on the newly built view classes. The Re-Web system has been implemented using PSE by Object Design Inc. as object repository, ODMG as object model, OQL as transformation language, SERF as OODB evolution facility and IBM XML parser and LotusXSL processor to aid the web site generation. A case study using Re-Web is also presented to illustrate the working of the system. To the best of our knowledge, Re-Web is the first web site management system focusing on the issue of re-usable view generation templates at the content and not at the presentation style level of abstraction. This revised version was published online in August 2006 with corrections to the Cover Date.     

地图符号服务与地图服务的耦合

为了实现地图符号在地图服务(WMS)中的应用,达到灵活定制WMS可视化效果的目的,从支持WMS的图层样式描述规范(SLD)入手,通过对SLD和WMS的分析,研究网络地图符号的发布方法,设计地图符号服务框架,提出了基于SLD,地图符号服务与WMS的耦合方法,以解决基于WMS的WebGIS应用中无法通过符号改变地图可视化效果的问题,实验结果表明该方法可以有效地关联地图符号服务与WMS,实现了WMS可视化效果的灵活定制.     

Boosting web video categorization with contextual information from social web

Web video categorization is a fundamental task for web video search. In this paper, we explore web video categorization from a new perspective, by integrating the model-based and data-driven approaches to boost the performance. The boosting comes from two aspects: one is the performance improvement for text classifiers through query expansion from related videos and user videos. The model-based classifiers are built based on the text features extracted from title and tags. Related videos and user videos act as external resources for compensating the shortcoming of the limited and noisy text features. Query expansion is adopted to reinforce the classification performance of text features through related videos and user videos. The other improvement is derived from the integration of model-based classification and data-driven majority voting from related videos and user videos. From the data-driven viewpoint, related videos and user videos are treated as sources for majority voting from the perspective of video relevance and user interest, respectively. Semantic meaning from text, video relevance from related videos, and user interest induced from user videos, are combined to robustly determine the video category. Their combination from semantics, relevance and interest further improves the performance of web video categorization. Experiments on YouTube videos demonstrate the significant improvement of the proposed approach compared to the traditional text based classifiers.     

侦测网络插件

在网站中嵌入媒体文件时至关重要的一点是要确定人们可以正常访问。这里Karl Hodge将为大家介绍一个简单明了的脚本,帮助解决这一问题。