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  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)  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. © 2015 IEEE.
cited By 0; Conference of 9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015 ; Conference Date: 7 February 2015 Through 9 February 2015; Conference Code:111175
Sa Gaurav, Jithendranath, Yb, Adil, Ac, Yadav, Sd, and Kasturi, Be, “A study to assess and enhance educational specific search on web for school children”, in Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015, 2015, pp. 260-263.