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
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
收藏
页码:253 / 257
页数:5
相关论文
共 50 条
  • [1] ANSWER GRAPH CONSTRUCTION FOR KEYWORD SEARCH ON GRAPH STRUCTURED(RDF) DATA
    Parthasarathy, K.
    Kumar, P. Sreenivasa
    Damien, Dominic
    KDIR 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL, 2010, : 162 - 167
  • [2] Diversified spatial keyword search on RDF data
    Zhi Cai
    Georgios Kalamatianos
    Georgios J. Fakas
    Nikos Mamoulis
    Dimitris Papadias
    The VLDB Journal, 2020, 29 : 1171 - 1189
  • [3] Diversified spatial keyword search on RDF data
    Cai, Zhi
    Kalamatianos, Georgios
    Fakas, Georgios J.
    Mamoulis, Nikos
    Papadias, Dimitris
    VLDB JOURNAL, 2020, 29 (05): : 1171 - 1189
  • [4] Scalable Keyword Search on Large RDF Data
    Le, Wangchao
    Li, Feifei
    Kementsietsidis, Anastasios
    Duan, Songyun
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2014, 26 (11) : 2774 - 2788
  • [5] Keyword Search over RDF Using Document-Centric Information Retrieval Systems
    Kadilierakis, Giorgos
    Fafalios, Pavlos
    Papadakos, Panagiotis
    Tzitzikas, Yannis
    SEMANTIC WEB (ESWC 2020), 2020, 12123 : 121 - 137
  • [6] RDF Keyword Search Using Multiple Indexes
    Lin, Xiaoqing
    Zhang, Fu
    Wang, Danling
    Cheng, Jingwei
    FILOMAT, 2018, 32 (05) : 1861 - 1873
  • [7] Fuzzy Type - Ahead Keyword Search in RDF Data
    Kavila, Selvani Deepthi
    Ravva, Ravi
    Bandaru, Rajesh
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2013, 2014, 247 : 67 - 73
  • [8] Pattern-Based Keyword Search on RDF Data
    Ouksili, Hanane
    Kedad, Zoubida
    Lopes, Stephane
    Nugier, Sylvaine
    SEMANTIC WEB, ESWC 2016, 2016, 9989 : 30 - 34
  • [9] Keyword Search on Structured and Semi-Structured Data
    Chen, Yi
    Wang, Wei
    Liu, Ziyang
    Lin, Xuemin
    ACM SIGMOD/PODS 2009 CONFERENCE, 2009, : 1005 - 1009
  • [10] RDF Keyword Search Using a Type-based Summary
    Lin, Xiao-Qing
    Ma, Zong-Min
    Yan, Li
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2018, 34 (02) : 489 - 504