Querying RDF and OWL Data Source using SPARQL

被引:0
|
作者
Kumar, Naveen [1 ]
Kumar, Suresh [1 ]
机构
[1] GGSIPU, Dept Comp Sci & Engn, AIACT&R, New Delhi, India
关键词
SPARQL; Query processing; Query Optimization; Semantic web; RDF; OWL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Semantic web is the extension of WWW, "web of document" that provide a support for "web of data" it gives an easier way to find, share, reuse and combine information. The semantic web can be best known as the web of linked data that enables people to create data stores on the web, build vocabularies, and write rules for handling data. It is based on machine-readable information and builds on XML technology's capability to define customized tagging schemes and RDF's (Resource Description Framework) flexible approach to representing data. The key challenge for many semantic web application is to access RDF and OWL data source, as a solution to this challenge, SPARQL, the w3c Recommendation for an RDF query language, supports querying of multiple RDF graphs and OWL data. In this paper we propose a framework for querying RDF data and OWL data using SPARQL. We perform querying the data using "TWINKLE" and "PROTEGE" tool and we also provide an experimental result of improving query performance by optimizing the query.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Towards efficient SPARQL query processing on RDF data
    Liu C.
    Wang H.
    Yu Y.
    Xu L.
    [J]. Tsinghua Science and Technology, 2010, 15 (06) : 613 - 622
  • [42] Fast Processing SPARQL Queries on Large RDF Data
    Yang, Guang
    Yuan, Pingpeng
    Jin, Hai
    [J]. 2016 IEEE 14TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 14TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 2ND INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/DATACOM/CYBERSC, 2016, : 921 - 926
  • [43] Research on Efficient SPARQL Query Processing for RDF Data
    Zhang, Yi
    [J]. PROCEEDINGS OF THE 2015 2ND INTERNATIONAL WORKSHOP ON MATERIALS ENGINEERING AND COMPUTER SCIENCES (IWMECS 2015), 2015, 33 : 476 - 482
  • [44] Towards Efficient SPARQL Query Processing on RDF Data
    刘畅
    王昊奋
    俞勇
    徐林昊
    [J]. Tsinghua Science and Technology, 2010, 15 (06) : 613 - 622
  • [45] RDF_QDAG in Action: Efficient RDF Data Querying at Scale
    Saidi, Boumediene
    Yousfi, Houssameddine
    Mesmoudi, Amin
    Benkabou, Seif-Eddine
    Hadjali, Allel
    Matallah, Houcine
    [J]. WEB INFORMATION SYSTEMS ENGINEERING - WISE 2022, 2022, 13724 : 633 - 640
  • [46] Building and Querying RDF/OWL Database of Semantically Annotated Nuclear Medicine Images
    Hwang, Kyung Hoon
    Lee, Haejun
    Koh, Geon
    Willrett, Debra
    Rubin, Daniel L.
    [J]. JOURNAL OF DIGITAL IMAGING, 2017, 30 (01) : 4 - 10
  • [47] Temporal Data Representation and Querying Based on RDF
    Zhang, Fu
    Wang, Ke
    Li, Zhiyin
    Cheng, Jingwei
    [J]. IEEE ACCESS, 2019, 7 : 85000 - 85023
  • [48] Querying APIs with SPARQL
    Mosser, Matthieu
    Pieressa, Fernando
    Reutter, Juan L.
    Soto, Adrian
    Vrgoc, Domagoj
    [J]. INFORMATION SYSTEMS, 2022, 105
  • [49] Flexible Querying for SPARQL
    Cali, Andrea
    Frosini, Riccardo
    Poulovassilis, Alexandra
    Wood, Peter T.
    [J]. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2014 CONFERENCES, 2014, 8841 : 473 - 490
  • [50] Querying the web with SPARQL
    Parsia, Bijan
    [J]. REASONING WEB, 2006, 4126 : 53 - 67