Computer assisted generation and transformation of web content

网络已经成为现代社会信息传播的基础结构。多年来，我们观察到两个新兴趋势：第一个是网络仍然主要面向人类受众。Web技术的大部分发展都集中在改善人类读者的内容消费上。在第二个趋势中，我们看到网络上越来越多的内容是机器生成的。为了提高机器生成的数据的使用的便利性，最终的Web内容采用基于文本的文章、图形可视化和图表以及汇总表的形式。 该提案侧重于可以帮助从结构化数据集为受众生成Web内容的算法和方法。特别是，我们对内容转换技术感兴趣，以便最终内容针对特定受众进行定制。 目前，标准的发布方法需要分析人员对数据集进行汇总，并以文本、图形和表格的混合形式手动发布分析结果。由于作者的手工密集参与，在大多数情况下，最终出版物只有一个版本。这在几个方面限制了底层信息的可读性和可访问性。 行业伙伴（搜索引擎人）可以从拟议的研究中受益，改善他们的服务：（一）他们的网站内容将针对个人用户。这将导致更高的转化率和网络流量的保留;（ii）网络内容的可见性将得到改善，更多的外部网站引用导致更高的流量和更好的谷歌PageRank;以及（iii）更好的卖点公司的核心业务和服务。

The Web has become the underlying fabric for information dissemination in the modern society. Over the years, we observe two emerging trends: First is that the Web is still mainly for human audience. Much of development of the Web technology focuses on the improvement of content consumption by human readers. In the second trend we witness that there is an increasing amount of content on the Web which are machine generated. To improve the ease of consumption of the machine generated data, the final Web content takes on the form of text based articles, graphical visualization and charts, and tabulation of aggregates. This proposal focuses on algorithms and methods that can assist with the generation of Web content for the audience from structured data sets. In particular, we are interested at content transformation techniques such that the end content is tailored some specific audience. Currently, the standard publishing method requires an analyst to summarize the data set, and manually publish the analysis result in a mixture of text, graphs and tables. Due to the manual intensive involvement of the author, in most cases, only one version of the final publication is generated. This limits the readability and accessibility of the underlying information in several ways. The industry partner (Search Engine People) can benefit from the proposed research by the following improvement in their services: (i) their site content will be targeted to individual users. This leads to higher conversion rate and retention of web traffic; (ii) the visibility of the web content will be improved with more referencing from external sites lead to higher traffic and better Google PageRank; and (iii) better selling point to the company's core business and services.