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arXiv 1408.4067cs.HC
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在小屏幕设备上适应Web内容的挑战和问题

Challenges and Issues in Adapting Web Contents on Small Screen Devices

Krishna Murthy A., Suresha, Anil Kumar K. M

摘要:

一般来说,网页是为使用HTML技术的大屏幕设备设计的。允许在小屏幕设备(SSD)(如手机、掌上电脑、平板电脑、PDA等)上显示此类网页,在当前无线技术的支持下正在增加。然而,SSD的屏幕尺寸、内存容量和带宽有限,这使得在SSD上访问网站非常困难。在文献中已经提出了许多方法来重新生成适合在SSD上浏览的HTML网页。这些建议的方法涉及段的Web页面的语义结构的基础上,其次是噪声去除块功能的基础上,并利用层次结构的内容元素重新生成一个适合小屏幕设备的页面。但万维网联盟表示,HTML并没有提供更好的描述网页内容的语义结构。为了克服这些缺点,Web开发人员开始使用XML,Flash等新技术开发Web页面,这为新的研究方法开辟了道路。因此,我们需要一种方法来重建这些适合SSD的网页。然而,文献中现有的方法不执行良好的Web页面架设使用XML和Flash。在本文中,我们强调了现有的方法在XML,Flash数据集的几个问题,并提出了一种方法,表现出更好的数据集组成的Flash网页。

英文摘要:

In general, Web pages are intended for large screen devices using HTML technology. Admittance of such Web pages on Small Screen Devices (SSDs) like mobile phones, palmtops, tablets, PDA etc., is increasing with the support of the current wireless technologies. However, SSDs have limited screen size, memory capacity and bandwidth, which makes accessing the Website on SSDs extremely difficult. There are many approaches have been proposed in literature to regenerate HTML Web pages suitable for browsing on SSDs. These proposed methods involve segment the Web page based on its semantic structure, followed by noise removal based on block features and to utilize the hierarchy of the content element to regenerate a page suitable for Small Screen Devices. But World Wide Web consortium stated that, HTML does not provide a better description of semantic structure of the web page contents. To overcome this draw backs, Web developers started to develop Web pages using new technologies like XML, Flash etc. It makes a way for new research methods. Therefore, we require an approach to reconstruct these Web pages suitable for SSDs. However, existing approaches in literature do not perform well for Web pages erected using XML and Flash. In this paper, we have emphasized a few issues of the existing approaches on XML, Flash Datasets and propose an approach that performs better on data set comprising of Flash Web pages.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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