一项评估及加强学童在网上进行教育专题搜寻的研究

S. Gaurav, Y. Jithendranath, Aruna Adil, Sudhakar Yadav, B. Kasturi
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引用次数: 1

摘要

今天,搜索引擎在访问在线内容方面起着至关重要的作用。然而,网页中的数据并没有被搜索引擎清楚地感知到。因此,它提供了大量不相关的数据和很少需要的信息。此外,在搜索适当的结果时需要花费大量时间。通过研究印度学龄儿童的在线教育需求,我们的目标是通过有效的搜索,在更短的时间内检索到合适的教育信息。Schema.org[5]是一个标记集合,它可以帮助网站管理员标记网页,以便检索相关信息。但是,与教育相关的属性并没有完全涵盖。学习资源元数据倡议(LRMI)[9]为教育创建了一些属性,并添加到schema.org中。我们将我们的研究与LRMI的工作相结合,并提出了一些新的属性作为模式的扩展,这对学生和教师都很有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study to assess and enhance educational specific search on web for school children
Today, search engines play a vital role in accessing the online content. However, the data in the webpages are not clearly perceived by search engines. As a result, it provides a lot of irrelevant data with little desired information. In addition, it takes a lot of time in searching the appropriate result. By studying the online educational needs of Indian school children, we aim to retrieve appropriate educational information in less time through effective search. Schema.org [5] is a collection of markups which helps webmasters to mark up the webpages for retrieval of relevant information. But, properties related to education are not covered completely. Learning Resource Metadata Initiative (LRMI) [9] has created few properties for education and added in schema.org. We map our study with LRMI's work, and propose some new properties as an extension to the schema, which can be useful for students and teachers.
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