基于Web Service的企业数据集成的研究

由于目前企业普遍存在的信息孤岛林立和数据断层的局面,企业内部以及企业之间的集成日益重要。从企业对信息及时需求的角度出发,在简要分析了Web服务和XML技术基础上,对企业应用集成中的数据集成进行了探讨,对异构数据在企业间的转换和传输做了一些研究,并提出了基于Web服务和XML技术的企业信息交换实现的方式,建立了一个统一高效的企业数据平台。     

数据挖掘在Web智能化中应用研究

分析了Web信息的特点和目前开发利用的局限,提出在Web上采用数据挖掘技术即Web挖掘,促进web智能化的观点。全面阐述了Web挖掘在Web智能化中的几个重要应用。指出Web挖掘是Web技术中一个重要的研究领域,是发现蕴藏在web上知识、区分权威链接、理解用户访问模式和网页语义结构的关键,它使充分利用Web大量的真正有价值的信息成为可能,为智能化Web奠定了基础。     

Web Services的安全性

通过对现有的Web Services服务中存在的包括数据保密性、完整性、用户身份的认证和交易的不可抵赖性的4个涉及安全性问题的分析和研究，提出了解决这4个方面问题的解决方案，最后指出了Web Services的发展前景。     

基于Web服务的动态电子商务的研究

传统电子商务曾经给企业带来了一定程度的成功,但随着用户需求的提高,企业的商业伙伴也越来越多,商业流程的集成日益复杂,传统的电子商务解决方案逐渐显现出实现繁琐、代价庞大的缺憾。基于XML技术的Web服务摒弃了平台,语言的差异,开放的标准协议又使得它的实施免去了企业花费在新技术上的代价,成为B2Bi优秀的解决方法。随着Web服务技术的不断成熟,在其基础上的动态电子商务必将以代价小、易实施、回报高为企业带来最大程度的利益,成为主流电子商务解决方案。     

Web数据仓库的逻辑设计

对于Web数据仓库,以前考虑的仅仅是Weblog日志数据的处理问题。给出了一种把Web的3种数据源Weblog日志数据、Marketing数据和Web元数据集成于数据仓库的逻辑设计模型。     

Simple algebraic data types for C

Adt is a simple tool in the spirit of Lex and Yacc that makes monomorphic algebraic data types, polymorphic built‐in types like the list and an efficient form of pattern matching available in C programs. C programs built with ADTs typically use NULL pointers only to indicate don't care values, and not as sentinels. This reduces the scope for errors involving NULL pointers. The Adt tool generates runtime checks, which catch many of the remaining NULL pointer dereferences. The runtime checks may consume a significant amount of CPU time; hence they can be switched off once the program is suitably debugged. Copyright © 2011 John Wiley & Sons, Ltd.     

Higher order data types

We consider a generalization of the concept of abstract data type suitable for modeling situations in which there is more than one level of functionality. An instance of such a situation is the difference in level of functionality between the query and update functions in a data base. We introduce the concept of a higher order data type to model this idea. The underlying algebraic ideas are outlined, and sample applications of the concept are presented.This work was partially supported by a research grant from the National Research Council of Canada.This work was partially supported by the Conselho Nacional de Desenvolvimento Cientifico e Tecnológico (CNPq; Brazil).     

Web结构挖掘的XML实现策略

XML适合于解决Web数据挖掘中数据库环境异构和信息的半结构化等难题。Web结构挖掘是整个Web信息挖掘的重要组成部分。用XML来完成Web结构信息的预处理是将Web结构信息规范化并转化为XML数据,并以此明确网站的文件构成、组织方式、内容构成和内容的超链关系。提出基于XML的Web结构挖掘系统的实现过程,解决了XML文件通过标准接口读入到挖掘程序的关键技术。     

基于Web服务的动态电子商务应用架构

动态电子商务是电子商务发展的目标，而Web服务是其核心技术。讨论了Web服务及相关协议规范，然后阐述了动态电子商务的概念及其优点，最后着重探讨了基于Web服务的动态电子商务系统架构。     

基于Web Services的SAR地面处理系统的研究

XML和Web Services技术的出现,以其特有的优点改变了在Web上进行软件设计的方法,今后也将引起合成孔径雷达地面处理系统实现体系的变革。结合合成孔径雷达地面处理系统的特点和目前存在的问题,探讨了利用Web Services技术提供雷达地面数据管理服务、雷达成像服务的方式,给出了利用Web Services实现合成孔径雷达地面处理系统的框架。     

基于Web Services的无刷新数据交换研究及应用

将实时数据通过Web的方式发布,实时显示过程参数,已经成为现代工业控制的一项热门课题.通过对XML Web Service技术和Java Script的研究,提出了一种基于B/S结构应用系统的无刷新数据交换的处理方法,可以动态更新页面的局部,而不刷新整个页面,解决了整页刷新的页面抖动效率低下等问题,并介绍了此技术在环保远程实时监控系统中的应用.     

利用JTidy和XML实现Web数据信息的批量提取

为了有效地在Web上进行数据信息的提取,实现Web数据的清理与集成,针对发布批量格式化数据的网页类型,提出了利用XML和JTidy自动从Web页面批量提取数据信息的方法.根据该类网页的特点,基于开发一种通用程序的思想,对页面标签结构进行分析与分类,讨论了识别数据元素和对数据元素进行分组等提取过程中的难点,在此基础上建立了总体扫描与提取的算法.实验结果表明了批量提取信息方法的可行性与有效性.     

基于数据仓库的Web日志挖掘技术研究

Web日志挖掘是目前Web挖掘研究的一个重点.针对Web日志挖掘中存在的问题,给出了基于数据仓库技术的Web日志挖掘方案,就数据预处理、数据立方体设计及数据挖掘技术的应用进行了较为深入的探讨.并以一个Web站点日志为例,详细阐述了Web日志数据预处理、Web日志立方体设计以及数据挖掘算法的实现过程,并实现了一个Web日志多维数据集,能够有效解决Web日志分析中的难题.     

An XML-enabled data extraction toolkit for web sources

The amount of useful semi-structured data on the web continues to grow at a stunning pace. Often interesting web data are not in database systems but in HTML pages, XML pages, or text files. Data in these formats are not directly usable by standard SQL-like query processing engines that support sophisticated querying and reporting beyond keyword-based retrieval. Hence, the web users or applications need a smart way of extracting data from these web sources. One of the popular approaches is to write wrappers around the sources, either manually or with software assistance, to bring the web data within the reach of more sophisticated query tools and general mediator-based information integration systems. In this paper, we describe the methodology and the software development of an XML-enabled wrapper construction system—XWRAP for semi-automatic generation of wrapper programs. By XML-enabled we mean that the metadata about information content that are implicit in the original web pages will be extracted and encoded explicitly as XML tags in the wrapped documents. In addition, the query-based content filtering process is performed against the XML documents. The XWRAP wrapper generation framework has three distinct features. First, it explicitly separates tasks of building wrappers that are specific to a web source from the tasks that are repetitive for any source, and uses a component library to provide basic building blocks for wrapper programs. Second, it provides inductive learning algorithms that derive or discover wrapper patterns by reasoning about sample pages or sample specifications. Third and most importantly, we introduce and develop a two-phase code generation framework. The first phase utilizes an interactive interface facility to encode the source-specific metadata knowledge identified by individual wrapper developers as declarative information extraction rules. The second phase combines the information extraction rules generated at the first phase with the XWRAP component library to construct an executable wrapper program for the given web source.     

城市空气质量数据处理分析的Web服务模型

研究了目前环境空气质量数据处理分析技术应用于大规模、分布式、异构的环境中所面临的问题,提出了一个基于Web服务的数据处理分析模型,将数据的实时采集、预处理、存储、发布、分析等都集成到一个框架结构中,满足了对系统的开放性、可扩展性和易维护性等方面的要求。     

A web personalizing technique using adaptive data structures: The case of bursts in web visits

The explosive growth in the size and use of the World Wide Web continuously creates new great challenges and needs. The need for predicting the users’ preferences in order to expedite and improve the browsing though a site can be achieved through personalizing of the Websites. Recommendation and personalization algorithms aim at suggesting WebPages to users based on their current visit and past users’ navigational patterns. The problem that we address is the case where few WebPages become very popular for short periods of time and are accessed very frequently in a limited temporal space. Our aim is to deal with these bursts of visits and suggest these highly accessed pages to the future users that have common interests. Hence, in this paper, we propose a new web personalization technique, based on advanced data structures.The data structures that are used are the Splay tree (1) and Binary heaps (2). We describe the architecture of the technique, analyze the time and space complexity and prove its performance. In addition, we compare both theoretically and experimentally the proposed technique to another approach to verify its efficiency. Our solution achieves O(P²) space complexity and runs in k log P time, where k is the number of pages and P the number of categories of WebPages.     

利用Web Services技术构建开放式数据挖掘系统

提出了一种新颖的数据挖掘系统的体系结构,该结构把SOA与传统的挖掘系统结构相结合.在此体系结构的基础上,实现了一个开放式挖掘系统,能够动态集成挖掘算法.将该系统应用于福州地热资源的数据挖掘中,结果证明通过将WebServices技术引入数据挖掘系统的构建中,能大大增强挖掘系统的功能.     

Sorting and selection on dynamic data

We formulate and study a new computational model for dynamic data. In this model, the data changes gradually and the goal of an algorithm is to compute the solution to some problem on the data at each time step, under the constraint that it only has limited access to the data each time. As the data is constantly changing and the algorithm might be unaware of these changes, it cannot be expected to always output the exact right solution; we are interested in algorithms that guarantee to output an approximate solution. In particular, we focus on the fundamental problems of sorting and selection, where the true ordering of the elements changes slowly. We provide algorithms with performance close to the optimal in expectation and with high probability.     

Web数据挖掘中数据集成问题的研究

在分析Web环境下数据源特点的基础上,对Web数据挖掘中的数据集成问题进行了深入的研究,给出了一个基于XML技术的集成方案.该方案采用Web数据存取方式将不同数据源集成起来,为Web数据挖掘提供了统一有效的数据集,解决了Web异构数据源集成的难题.通过一个具体实例介绍了Web数据集成的过程.