个性化元搜索结果整合算法的研究

针对当前元搜索引擎存在的问题,提出一种个性化元搜索结果整合算法。首先对成员搜索引擎根据相应条件设定权值,对各成员搜索引擎得到的搜索结果按贡献量加权分块排序,根据用户检索词条与兴趣库和元搜索结果的文本相关度对块内搜索结果进行整合排序。实验结果表明,该算法能够满足不同用户的个性化需求,在保证了搜索结果查全率的同时提高了查准率,很大程度上改善了用户检索效果和效率。     

XML和XSL结合实现网站动态内容发布

本文讨论了用XML和XSL结合实现网站发布的方法。通过XSL、XML和javaBeans的结合。以XML为数据交换标准，可以实现界面设计和程序设计的分离。通过定义统一的XML标准，实现程序的通用性。文中给出了详细的运行环境和一个XSIJ进行数据转换的实例。     

元搜索引擎排序技术综述*

摘要：如何排序是实现元搜索引擎的一项关键技术,排序算法的好坏直接决定着元搜索引擎的性能。对元搜索引擎常用的排序算法根据其发展先后顺序作了介绍,对一些经典的算法进行了分析和评价,归纳出元搜索引擎排序算法适用的不同环境,最后对元搜索引擎排序算法未来发展方向作了技术展望。     

Using relevance feedback in content-based image metasearch

MetaSeek is an image metasearch engine developed to explore the querying of large, distributed, online visual information systems. The current implementation integrates user feedback into a performance-ranking mechanism. MetaSeek selects and queries the target image search engines according to their success under similar query conditions in previous searches. The current implementation keeps track of each target engine's performance by integrating user feedback for each visual query into a performance database. We begin with a review of the issues in content-based visual query, then describe the current MetaSeek implementation. We present the results of experiments that evaluated the implementation in comparison to a previous version of the system and a baseline engine that randomly selects the individual search engines to query. We conclude by summarizing open issues for future research     

A new fusion strategy for web metasearch

In this paper, we present two new list fusion strategies for the collection fusion problem in web metasearch. The new approaches fall in the category of isolated methods since they consider as input the lists obtained by different search engines only, plus a fuzzy degree of relevance in one of the methods. In the latter case, we employ a recently proposed approach for the representation of fuzzy preferences, namely, RL-preference relations. A remarkable contribution of the approaches is that the result of the fusion is an ordered list of indistinguishable groups of documents. This kind of output represents a good compromise between understandability and accuracy of the result. We have illustrated the performance of the method by means of several experiments and a comparison with other web metasearchers.     

利用XSL显示网络资源的研究与实践

近年来,对XML的研究成了Web界的一个热点,而XML的数据和表现分离,所以在一个Web浏览器上显示XML的能力需要样式表的支持。目前有CSS、DSSSL和XSL三种样式语言可用,指出了已经标准化了的样式语言CSS的不足,阐述了专门为XML而写的样式语言XSL的功能,具体说明了XSL的转换部分XSLT（XSL Transformation)。给出了一个用XSL显示特定查询需要的实例。     

Predicting the maintainability of XSL transformations

XSLT is a popular language for implementing both presentation templates in Web applications as well as document and message converters in enterprise applications. The widespread adoption and popularity of XSLT raises the challenge of efficiently managing the evolution of significant amounts of XSLT code. This challenge calls for guidelines and tool support for developing maintainable XSLT code. In this setting, this paper addresses the following question: Can the maintainability of XSL transformations, measured in terms of code churn in the next revision of a transformation, be predicted using a combination of simple metrics? This question is studied using a dataset extracted from open-source software project repositories. An outcome of this empirical study is a set of statistical models for predicting the maintainability of XSL transformations with relatively high accuracy. In addition, by analyzing the major influencers of code churn in these models, the paper identifies guidelines for designing XSL transformations with reduced future churn.     

Compiler support for effective XSL transformation

XML is a markup language used to describe data or documents. The main goal of XML is to facilitate the sharing of data across diverse information systems, especially via the Internet. XML Stylesheet Transformations (XSLT) is a standard approach to describing how to transform an XML document into another data format. The ever‐increasing number of Web technologies being used in our everyday lives commonly employs XSLT to support data exchange among heterogeneous environments, and the associated increasing burdens on XSLT processors have increased the demand for high‐performance XSLT processors. In this paper, we present an XSLT compiler, named Zebu, which can transform an XSLT stylesheet into the corresponding C program. The compiled program can be used to transform documents without the processing of XSLT stylesheets. The results of experimental testing using standard benchmarks show that the proposed XSLT compiler performs well in processing XML transformations. Copyright © 2011 John Wiley & Sons, Ltd.     

Predicting the maintainability of XSL transformations

XSLT is a popular language for implementing both presentation templates in Web applications as well as document and message converters in enterprise applications. The widespread adoption and popularity of XSLT raises the challenge of efficiently managing the evolution of significant amounts of XSLT code. This challenge calls for guidelines and tool support for developing maintainable XSLT code. In this setting, this paper addresses the following question: Can the maintainability of XSL transformations, measured in terms of code churn in the next revision of a transformation, be predicted using a combination of simple metrics? This question is studied using a dataset extracted from open-source software project repositories. An outcome of this empirical study is a set of statistical models for predicting the maintainability of XSL transformations with relatively high accuracy. In addition, by analyzing the major influencers of code churn in these models, the paper identifies guidelines for designing XSL transformations with reduced future churn.     

基于Web Service架构元搜索引擎的研究

介绍了Web Service及元搜索引擎技术,认为这两者的结合能解决元搜索引擎跨网络、跨平台数据通信以及系统间灵活集成的问题。给出了一个基于Web Service架构元搜索引擎系统体系结构,阐述了设计思想,介绍了系统的工作原理,并重点说明了各模块的工作机理。     

A neural network-based intelligent metasearch engine

Determining the relevancy of web pages to a query term is basic to the working of any search engine. In this paper we present a neural network based algorithm to classify the relevancy of search results on a metasearch engine. The fast learning neural network technology used by us enables the metasearch engine to handle a query term in a reasonably short time and return the search results with high accuracy.     

使用XSL技术实现XML到SVG文件的转换

首先介绍了SVG和XSL技术，然后结合具体实例阐述了使用XSL实现XML到SVG文档的转换过程，最后对SVG的应用前景进行了展望。     

基于XSL技术SVG图像的更新

介绍了SVG和XSL技术的特点 ,分析了SVG作为矢量图像格式的优点 ,总结出了通过XSL技术更新SVG图像的方法 ,举例说明了整个过程     

Preference relations based unsupervised rank aggregation for metasearch

Rank aggregation mechanisms have been used in solving problems from various domains such as bioinformatics, natural language processing, information retrieval, etc. Metasearch is one such application where a user gives a query to the metasearch engine, and the metasearch engine forwards the query to multiple individual search engines. Results or rankings returned by these individual search engines are combined using rank aggregation algorithms to produce the final result to be displayed to the user. We identify few aspects that should be kept in mind for designing any rank aggregation algorithm for metasearch. For example, generally equal importance is given to the input rankings while performing the aggregation. However, depending on the indexed set of web pages, features considered for ranking, ranking functions used etc. by the individual search engines, the individual rankings may be of different qualities. So, the aggregation algorithm should give more weight to the better rankings while giving less weight to others. Also, since the aggregation is performed when the user is waiting for response, the operations performed in the algorithm need to be light weight. Moreover, getting supervised data for rank aggregation problem is often difficult. In this paper, we present an unsupervised rank aggregation algorithm that is suitable for metasearch and addresses the aspects mentioned above.We also perform detailed experimental evaluation of the proposed algorithm on four different benchmark datasets having ground truth information. Apart from the unsupervised Kendall-Tau distance measure, several supervised evaluation measures are used for performance comparison. Experimental results demonstrate the efficacy of the proposed algorithm over baseline methods in terms of supervised evaluation metrics. Through these experiments we also show that Kendall-Tau distance metric may not be suitable for evaluating rank aggregation algorithms for metasearch.     

使用XSL表现XML的几种方法

XML是进行数据组织的、可扩展的标记语言，XSL则一种样式表语言，定义了XML内容的表现形式。本文介绍了使用XSL样式表显示XML文档的三种方法，及各自的优点。     

基于XML/XSL的Web报表工具的设计与实现

Web报表是当前企业信息系统报表应用的发展方向,而目前的工具无法有效地支持其设计与开发。XML是当前最新的Internet数据标准,该文将它与Web应用体系结构相结合,提出并实现了一个基于XML的Web报表设计工具和支撑框架。该工具采用了COM构件标准实现,并解决了报表分页和统计等关键功能,对企业信息系统的Web报表开发有着重要的意义。     

互联网中XML网页的链接解析与信息采集

文章分析和介绍对互联网中XML+XSL网页资源链接解析和内容采集的方法,包括传统HTML中链接解析、XML转换为HTML后链接解析、手工定制下XML链接解析和传统HTML信息采集、XML信息抽取、XML转换为HT- ML的信息采集等。     

Supporting document development with Concordia

A development environment has been designed and implemented for technical writers. This environment, called Concordia, is an extension of Genera, the software development environment provided on Symbolics computers. It applies object-oriented techniques to creating, publishing, and maintaining complex documentation. The discussion covers the goals and design of Concordia, creating and editing documents, viewing and reviewing documents, and production. The Concordia approach is evaluated.<>     

Supporting requirements with video-based analysis

The dealing-room study is one of many studies that have used video to support requirements elicitation and the general design process. A growing body of experience with video-based ethnographies supports technology development in various domains, including air traffic and other control rooms, healthcare, public settings such as museums, and more experimental technologies, including media spaces and ubiquitous computing.