DocumentCode :
1866864
Title :
A study to assess and enhance educational specific search on web for school children
Author :
Gaurav, Sanket ; Jithendranath, Y. ; Adil, Aruna ; Yadav, Sudhakar ; Kasturi, Bhanuchander
Author_Institution :
CSE, SMIT, Majitar, India
fYear :
2015
fDate :
7-9 Feb. 2015
Firstpage :
260
Lastpage :
263
Abstract :
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.
Keywords :
Web sites; educational computing; information retrieval; meta data; search engines; Indian school children; LRMI; Web pages; educational information retrieval; educational specific search assessment; learning resource metadata initiative; online content accessment; online educational needs; schema.org; search engines; Educational institutions; Internet; Materials; Training; LRMI; Schema; Schema.org; School children; Semantics; Teachers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2015 IEEE International Conference on
Conference_Location :
Anaheim, CA
Type :
conf
DOI :
10.1109/ICOSC.2015.7050816
Filename :
7050816
Link To Document :
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