Linked Data Indexing Methods: A Survey

被引:0
作者
Svoboda, Martin [1 ]
Mlynkova, Irena [1 ]
机构
[1] Charles Univ Prague, Dept Software Engn, CR-11800 Prague 1, Czech Republic
来源
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2011 WORKSHOPS | 2011年 / 7046卷
关键词
Linked Data; RDF; indexing; querying; SPARQL; RDF;
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
Documents on the contemporary Web are based especially on HTML formats and, therefore, it is rather difficult to retrieve hidden structured information from them using automated agents. The concept of Linked Data based primarily on RDF data triples seems to successfully solve this drawback. However, we cannot directly adopt the existing solutions from relational databases or XML technologies, because RDF triples are modelled as graph data and not relational or tree data. Despite the research effort in recent years, several questions in the area of Linked Data indexing and querying remain open, not only since the amount of Linked Data globally available significantly increases each year. This paper attempts to introduce advantages and disadvantages of the state-of-the-art solutions and discuss several issues related to our ongoing research effort the proposal of an efficient querying framework over Linked Data. In particular, our goal is to focus on large amounts of distributed and highly dynamic data.
引用
收藏
页码:474 / 483
页数:10
相关论文
共 27 条
  • [1] Abadi Daniel J., 2007, Proceedings of the 33rd International Conference on Very Large Data Bases, VLDB'07, P411
  • [2] [Anonymous], 2008, W3C RECOMMENDATION
  • [3] [Anonymous], 2004, RDF VOCABULARY DESCR
  • [4] [Anonymous], 2004, W3C RECOMMENDATION
  • [5] Atre Medha., 2010, WWW, P41, DOI DOI 10.1145/1772690.1772696
  • [6] Beckett D, 2004, W3C recommendation, V10
  • [7] Linked Data - The Story So Far
    Bizer, Christian
    Heath, Tom
    Berners-Lee, Tim
    [J]. INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2009, 5 (03) : 1 - 22
  • [8] Bray T., 2006, Extensible Markup Language (XML) 1.1 Specification, V2nd
  • [9] Broekstra J, 2002, LECT NOTES COMPUT SC, V2342, P54
  • [10] Cho J., 2000, Proceedings of the 26th International Conference on Very Large Data Bases, P1