Keyword Search Retrieval for Structured Data using RDF for E-Learning Application

被引：0

作者：

Sumalatha, M. R. ^{[1
]}

Parvathy, M. ^{[1
]}

机构：

[1] Anna Univ, Madras Inst Technol, Dept Informat Technol, Madras 600025, Tamil Nadu, India

来源：

2013 FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC) | 2013年

关键词：

MashQL; RDF; SPARQL; Query Formulation;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

E-learnin2 is an interactive learnin2 system with a computer throu2h Internet connection. The retrieval of book details by e-learnin2 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-Iearning 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-Iearning 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.

引用

页码：253 / 257

页数：5

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