Open AccessSurvey of RDF Keyword Query Techniques
Author(s) -
Jiang Dong-yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/3/032108
Subject(s) - computer science , rdf query language , rdf/xml , rdf , sparql , information retrieval , rdf schema , simple knowledge organization system , cwm , web search query , linked data , web query classification , query optimization , semantic web , query expansion , query language , semantic analytics , social semantic web , search engine
With the development of the Semantic Web and information extraction technologies, more and more available RDF data has emerged on the Web. It has become one of the research hot spots in semantic Web technology. In this paper, in terms of RDF data organization and storage, as well as query expression, query processing. The analysis and comparison of RDF keyword query approaches are presented deeply and future research challenges are put forward.