DocumentCode
1625499
Title
Keyword Search Retrieval for Structured data using RDF for E-learning application
Author
Sumalatha, M.R. ; Parvathy, M.
Author_Institution
Dept. of Inf. Technol., Anna Univ., Chennai, India
fYear
2013
Firstpage
253
Lastpage
257
Abstract
E-learning is an interactive learning system with a computer through Internet connection. The retrieval of book details by e-learning users is generally difficult, since those data are structured. The structured data face the challenging issues in retrieval process. The schema of the data is not known to the user in order to query, which is also user friendly to the end users. Here E-learning materials may be schema-free or poorly-schematized. In this proposed work, a graphical query formulation language, called MashQL, is used in order to easily query structured data in E-learning application. Even, when the end users have limited technical background they can query and explore multiple data sources. This is the main significance of MashQL. This work aims in introducing semantic keyword search to retrieve the structured data.
Keywords
computer aided instruction; query languages; query processing; Internet connection; MashQL; RDF; book details retrieval; e-learning application; e-learning materials; electronic learning; graphical query formulation language; interactive learning system; keyword search retrieval; resource description framework; semantic keyword search; structured data retrieval; Databases; Face; Navigation; Resource description framework; Semantics; MashQL; Query Formulation; RDF; SPARQL;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computing (ICoAC), 2013 Fifth International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-3447-8
Type
conf
DOI
10.1109/ICoAC.2013.6921959
Filename
6921959
Link To Document