Jess规则引擎在数据质量分析中的应用

规则引擎通过将业务规则和开发者的技术决策分离,实现了动态管理和修改业务规则而又不影响软件系统的需求。Jess是一个基于Java的规则引擎,可以方便地嵌入到Java应用程序中。本文论述了Jess规则引擎的核心组成及基于Jess规则的数据质量分析的工作原理,通过实例对基于SQL查询、自定义规则和Jess规则进行了对比分析,得出了Jess规则引擎能够有效地对业务规则进行结构化表示和自动完成数据质量分析的结论。     

二叉排序树在动态检索中的应用研究

在信息系统广泛应用的今天,数据查询的效率越来越受人们关注,以往的顺序查找法查询效率低,很难满足大数据量的查询,本文提出一种基于二叉排序树的动态检索方法,并结合实例,阐述了二叉排序树的构造、平衡、查询等操作,大大提高了检索效率。     

基于本体的垂直搜索引擎的研究

分析了当前网上搜索引擎的现状及存在的问题,提出了一种结合本体的垂直搜索引擎构建思想,构建了基于本体的垂直搜索引擎模型。     

基于Lucene的校园网垂直搜索弓擎的设计与实现

垂直搜索引擎是针对某一个特定行业的专业搜索引擎,是搜索引擎的细分和延伸,可以反馈给用户更准确和更专业的查询结果．在高校的校园网信息检索应用领域,实现了基于Lucene技术的中文校园网垂直搜索引擎,其可以为用户提供专业的信息检索服务．     

利用网络资源促进英语自主学习

有效利用网上资源对于促进英语自主学习是很重要的。比较主要的网上英语学习资源包括一些广受欢迎的免费在线词典、一些在线翻译网站、一些网上英语学习论坛等。另外掌握和了解一些利用谷歌搜索引擎查找词汇、查找词汇搭配、证实词汇用法准确性等的简单实用的方法和技巧,对于英语学习者也很有帮助。     

Search engines and the public use of reason

How should the policies of search engines and other information intermediaries be ethically evaluated? It is argued that Kant’s principles for the public use of reason are useful starting points for the formulation of criteria for such an evaluation. The suggestion is, furthermore, that a search engine can be seen to provide a testimony to the user concerning what information that is most relevant to her query. This suggestion is used as the basis for the development of a broadly Kantian account of a rational searcher. It is argued that the search engine companies are morally required to publish their information policies and act in accordance with them but given the threat of search engine spam they can have no obligation to publish the details of their algorithms.     

电控发动机水温过高的故障诊断

以电控发动机冷却系统的结构与工作原理为基础,分析发动机水温过高的故障原因并通过维修实例进行证明,总结出汽车发动机水温过高故障的常用诊断流程.     

Finding what is missing from a digital library: A case study in the Computer Science field

This article proposes a process to retrieve the URL of a document for which metadata records exist in a digital library catalog but a pointer to the full text of the document is not available. The process uses results from queries submitted to Web search engines for finding the URL of the corresponding full text or any related material. We present a comprehensive study of this process in different situations by investigating different query strategies applied to three general purpose search engines (Google, Yahoo!, MSN) and two specialized ones (Scholar and CiteSeer), considering five user scenarios. Specifically, we have conducted experiments with metadata records taken from the Brazilian Digital Library of Computing (BDBComp) and The DBLP Computer Science Bibliography (DBLP). We found that Scholar was the most effective search engine for this task in all considered scenarios and that simple strategies for combining and re-ranking results from Scholar and Google significantly improve the retrieval quality. Moreover, we study the influence of the number of query results on the effectiveness of finding missing information as well as the coverage of the proposed scenarios.     

搜索引擎偏见:合理性与不合理性——从百度竞价排名风波说起

百度竞价风波是搜索引擎偏见的典型体现。以竞价排名为特征的搜索引擎偏见与生俱来,具有一定的合理性,同时也具有严重的消极后果:伤害了新闻自由和个人自治,破坏了民主制度的基础和市场规则,违反了相关法律。如何减少和消除搜索引擎偏见,维护新闻自由,维持媒介市场秩序,促进个人和组织自治,推进民主进程,推动人类全面发展,值得深思。     

一种基于属性核的Rough集属性约简搜索算法

本文提出了一种新的可以快速寻找Rough集约简属性的算法,该算法利用计算属性核来提高计算效率.首先,从属性核出发,不断地在属性核上添加非核属性以构成新的属性集合,并判断新的属性集合是否为属性约简,然后在此基础上进行剪枝运算并在不构成约简的属性集合的基础上再生成新的属性集合并进行属性约简判断.该算法为一种搜索算法,由于采用了属性核算法和剪枝算法,提高了计算效率并能够找到给定信息系统的全部属性约简.通过测试,表明该算法是一种可行且有效的属性约简算法.