基于Web的数据挖掘--网络挖掘

论述了数据挖掘的概念、特点,重点探讨了基于Web的数据挖掘——网络挖掘的特点和任务,最后介绍了网络挖掘需要研究的一些新课题.     

数字图书馆数据挖掘的基础研究

数字图书馆是综合运用多方面高新技术支持的数字信息资源管理系统。本文较为系统地论述了数据挖掘技术应用于数字图书馆的有关问题;从理论上探讨了数据挖掘技术在数字图书馆结构、内容、用户使用记录三方面的应用,对三方面的挖掘方法、步骤进行了探索性研究。     

数据挖掘在数字图书馆中的应用研究

数据挖掘技术在信息的利用和提取中发挥着日益重要的作用。本文在描述数据挖掘技术的基础上,探讨了数据挖掘在数字化图书馆中应用的三个方面,说明数据挖掘技术在数字图书馆应用的必要性,并提出一个基于数据挖掘技术的数字图书馆的挖掘系统模型。     

Web 数据挖掘中数据异构问题解决方法的研究

Web 是动态性极强的信息源,访问、分析信息必须研究异构数据的集成问题,并选择合适的技术进行数据 分析、集成和处理。怎样对Web 海量的数据信息进行深层次的应用已成为数据挖掘技术的研究热点。本文介绍了XML （可扩展标记语言）在Web 数据挖掘中的应用,探讨了Web 数据挖掘中的数据异构问题。通过XML技术建立数据抽取模 型,解决互联网上绝大多数因异构、非结构化所导致的Web 数据挖掘问题。     

智能搜索引擎如何应用WEB信息挖掘技术

介绍网络信息挖掘技术定义、关键技术，以Google为例，剖析网络信息挖掘技术在搜索引擎的应用。智能搜索引擎如何应用WEB信息挖掘技术进行个性化服务。     

图书馆信息管理与数据挖掘技术

本文讨论了数字图书馆网上信息进行自动提取的数据挖掘技术；论述了数据库和数据挖掘的基本原理和方法；分析了利用数据挖掘技术进行网上信息分类的实现途径。     

数字图书馆中多媒体数据挖掘技术研究

数据挖掘技术是数字图书馆的核心技术。人们不仅需要检索到文本信息，还需要对视频信息进行管理和检索。所以，多媒体数据挖掘成为研究的热点。本文介绍了多媒体数据挖掘的过程、方法和数据表示。     

网络动态数据挖掘研究进展与展望

[目的/意义]传统数据挖掘技术很难有效地对海量、高维、动态的网络数据进行分析,这成为当前商业智能、决策分析和知识发现等领域中的主要技术瓶颈,网络动态数据挖掘能有效解决这一问题。[方法/过程]通过梳理网络动态数据挖掘相关理论与应用研究成果,对网络动态数据挖掘研究的形成过程、发展历程和研究趋势进行归纳和总结。[结果/结论]研究认为:网络动态数据挖掘过程中突变性问题、与情报学的融合问题、社交网络动态演化模型、研究合作网络时序变化及网络动态数据挖掘中的粒度计算问题等是情报学研究需要关注的主要研究方向。     

传统媒体争相拥抱WEB2.0

“科学技术是第一生产力”,伟人不愧是伟人,论断一针见血,不服不行。传媒业越来越感受到科技的力量。这力量,对不同的媒体而言,有些是“压力”,有些是“动力”。科技在拉大差距。在科技力量的作用下,不同类的媒体呈现出不同的发展态势和前景,同类媒体之间的发展分化也在加剧。科技又在消除差距。体现在两个方面:一是国内国外的新闻媒体越来越多地面对越来越多的相同或相似的问题,这背后很重要的因素就是科技的作用;二是科技的发展,无形中降低了很多“门槛”,给市场参与者以更多公平竞争的机会,不管是老媒体还是新媒体,不管是大媒体还是小媒体,都可以借助科技而胜出。如果说过去传媒业的竞争、发展主要考虑“传媒—读者—市场”的关系,今天,今后,则要把“科技”加进来。因为,过去,科技基本上是传媒的“家务事”,其力量基本上体现在采编、印刷等设备更新上,属“辅助性”的力量;现在则不然了,它成了一种“决定性”的力量——不仅对媒体自身,而且对读者和市场。     

信息服务的趋势:Semantic WEB

Web发展造成了“信息爆炸”和“知识贫乏”的矛盾，基于XML和RDF发展的语义网是解决这一问题的关键。变“机器可读”为“机器可理解”是语义网的目标，信息服务可以应用语义网的模式和成果。提高搜索的准确率，提供高相关度的个性化服务，构建全新的数字图书馆门户。     

Web挖掘在网络教育中的应用研究

文章讨论了将Web挖掘应用在网络教育中的必要性,以及Web内容挖掘、Web结构挖掘和Web使用挖掘在网络教育中的应用。     

A survey of approaches for ranking on the web of data

Ranking information resources is a task that usually happens within more complex workflows and that typically occurs in any form of information retrieval, being commonly implemented by Web search engines. By filtering and rating data, ranking strategies guide the navigation of users when exploring large volumes of information items. There exist a considerable number of ranking algorithms that follow different approaches focusing on different aspects of the complex nature of the problem, and reflecting the variety of strategies that are possible to apply. With the growth of the web of linked data, a new problem space for ranking algorithms has emerged, as the nature of the information items to be ranked is very different from the case of Web pages. As a consequence, existing ranking algorithms have been adapted to the case of Linked Data and some specific strategies have started to be proposed and implemented. Researchers and organizations deploying Linked Data solutions thus require an understanding of the applicability, characteristics and state of evaluation of ranking strategies and algorithms as applied to Linked Data. We present a classification that formalizes and contextualizes under a common terminology the problem of ranking Linked Data. In addition, an analysis and contrast of the similarities, differences and applicability of the different approaches is provided. We aim this work to be useful when comparing different approaches to ranking Linked Data and when implementing new algorithms.     

Towards an automated method to assess data portals in the deep web

The rising number of data portals has been increasing demand for new techniques to assess data openness in an automated manner. Some methods have emerged that presuppose well-organized data catalogs, the availability of API interfaces and natively exposed metadata. However, many data portals, particularly those of local governments, appear to be misimplemented and developed with the classic website model in mind, which provides access to data only through user interaction with web forms. Data in such portals resides in the hidden part of the web, as it is dynamically produced only in response to direct requests. This paper proposes an automated method for assessing government-related data in the deep web on the basis of compliance with open data principles and requirements. To validate our method, we apply it in an experiment using the government websites of the 27 Brazilian capitals. The method is fully carried out for 22 of the capitals' websites, resulting in the analysis of 5.6 million government web pages. The results indicate that the keyword search approach utilized in the method, along with the checking of web pages for multifield web forms, is effective for identifying deep web data sources, as 1.5% of web pages with potential government data that are analyzed are found to contain data stored in the deep web. This work contributes to the development of a novel method that allows for the continuous checking and identification of government data from surface web data portals. In addition, this method can be scaled and repeated to assure the widest possible content coverage.     

Health communication on the web: The roles of web use motivation and information completeness

Recent articles on the evaluation of the quality of health information on the World Wide Web reveal an emphasis on the completeness of information. This paper takes a situational approach to Web usage arguing that the impact of completeness on attitude and intention toward the issue is moderated by Web use motivation. Borrowing the analogy between low–high involvement and surfing–searching, it was hypothesized that the effect of completeness would be observed in the searching situation and not observed in the surfing situation. After the initial pretests and pilot studies, 246 respondents were recruited to participate in a 2×3 study design. Not supporting the hypotheses, it was observed that the effect of completeness was significant in both surfing and searching situations. Explanations are provided for the observation, and directions for future research are suggested.     

Using web.2.0 for the information support of employees: The promise of web 2.0

The experience from web 2.0 usage in libraries is analyzed. The potential uses of web 2.0 technology (the second-generation web) at enterprises are considered. Web 2.0 technology can be used in order to improve information support for employees via “the encyclopedia of knowledge,” based on Wiki technology, to promptly inform employees about news or new arrivals based on RSS technology, to discuss problems and cooperative work on projects using an internal blog, to navigate information resources using collective bookmarks and collective catalogs, and in other ways.     

The value of student evaluation of a web site

A collaborative project between the library and the biology department is in its fourth year. Conceived as a traditional lecture-based instruction session, it has evolved into a web-based, library skills tutorial which introduces students to topic development; a variety of types of resources to use, along with strategies for evaluating and using them effectively; guidelines for citation formats; and much more. Students are required to work through the site to gather sources for a paper. Student evaluations of the site taught its developers much about how students approach this kind of assignment and how it can be improved.     

网络环境下图书馆服务的创新研究

章首先分析了网络环境下图书馆服务创新的动力，然后根据推动力的需要提出了几种图书馆服务创新的方式。     

网络环境下ACA方法的应用研究

本文利用Google Scholar进行了网络环境下我国图书情报界学者的共被引分析研究,进行了聚类分析和多维尺度分析,并利用Pajek进行了可视化,以期对Google Scholar的文献计量功能有更多深入的了解,并应用到实际的科研活动中。     

网络信息内容质量探析

本文就当前我国网络信息内容质量问题，根据信息结构对网络信息内容进行了分类，并分析了网络信息内容的现状与原因，提出了几点看法与建议，希望能够促进我国网络信息内容的发展。     

基于Web的高校图书馆虚拟参考咨询服务

章阐述了虚拟参考咨询服务的产生和发展及其服务内容和方式，分析了国内高校图书馆开展虚拟参考咨询服务的现状，指出其存在的问题，并提出了发展的对策。