Accessibility and search engine optimization on scalable vector graphics
Reinaldo Ferraz
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{"title":"Accessibility and search engine optimization on scalable vector graphics","authors":"Reinaldo Ferraz","doi":"10.1109/ISCMI.2017.8279605","DOIUrl":null,"url":null,"abstract":"The purpose of this paper was to carry out a study about techniques for description of images in Scalable Vector Graphics (SVG), and also assess the way in which search engines index this content. The study addressed the importance of the description of images, how this description has an impact on the web accessibility for screen reader users, and the way in which this content is indexed by search engines. The execution of the study involved a process of empirical observation, which represented a typical environment for the publication of a SVG code on a Web page. The base of the experiment was the publication of content within SVG elements, on a HTML5 (HyperText Markup Language version 5) webpage. After indexing by search engines, an investigation was carried out to see which elements were indexed. We observed the behaviour of the elements <title>, <desc>, <text>, and also the aria-label attribute, as well as support by browsers and assistive technology, and its indexing by search engines. The hypothesis behind this work is that some elements and attributes that are important for accessibility of the SVG content are also useful for indexing the content by search engines. The conclusion of this study has shown that elements such as <desc> and <text> are indexed by search engines, and their combination with other elements and attributes may expand the accessibility of the page and also contribute for the indexing by search engines.","PeriodicalId":119111,"journal":{"name":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCMI.2017.8279605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
The purpose of this paper was to carry out a study about techniques for description of images in Scalable Vector Graphics (SVG), and also assess the way in which search engines index this content. The study addressed the importance of the description of images, how this description has an impact on the web accessibility for screen reader users, and the way in which this content is indexed by search engines. The execution of the study involved a process of empirical observation, which represented a typical environment for the publication of a SVG code on a Web page. The base of the experiment was the publication of content within SVG elements, on a HTML5 (HyperText Markup Language version 5) webpage. After indexing by search engines, an investigation was carried out to see which elements were indexed. We observed the behaviour of the elements , <desc>, <text>, and also the aria-label attribute, as well as support by browsers and assistive technology, and its indexing by search engines. The hypothesis behind this work is that some elements and attributes that are important for accessibility of the SVG content are also useful for indexing the content by search engines. The conclusion of this study has shown that elements such as <desc> and <text> are indexed by search engines, and their combination with other elements and attributes may expand the accessibility of the page and also contribute for the indexing by search engines. </div>
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<div class="zxqknr">可扩展矢量图形的可访问性和搜索引擎优化</div>
<div class="wenct">本文的目的是对可缩放矢量图形(SVG)中的图像描述技术进行研究，并评估搜索引擎索引该内容的方式。该研究讨论了图像描述的重要性，这种描述对屏幕阅读器用户的网络可访问性的影响，以及搜索引擎索引这些内容的方式。该研究的执行涉及一个经验观察过程，它代表了在Web页面上发布SVG代码的典型环境。实验的基础是在HTML5(超文本标记语言版本5)网页上发布SVG元素中的内容。在被搜索引擎索引后，进行了一项调查，看看哪些元素被索引了。我们观察了元素、、和aria-label属性的行为，以及浏览器和辅助技术的支持，以及搜索引擎对其的索引。这项工作背后的假设是，对于SVG内容的可访问性很重要的一些元素和属性对于搜索引擎索引内容也很有用。本研究的结论表明，和等元素被搜索引擎索引，它们与其他元素和属性的结合可以扩大页面的可访问性，也有助于搜索引擎的索引。</div>
<div class="zxqkt">本文章由计算机程序翻译，如有差异，请以英文原文为准。</div>
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