DocumentCode :
710169
Title :
A graph-based RDF triple store
Author :
Xuchuan Shen ; Lei Zou ; Ozsu, M. Tamer ; Lei Chen ; Youhuan Li ; Shuo Han ; Dongyan Zhao
Author_Institution :
Peking Univ., Beijing, China
fYear :
2015
fDate :
13-17 April 2015
Firstpage :
1508
Lastpage :
1511
Abstract :
In this demonstration, we present the gStore RDF triple store. gStore is based on graph encoding and subgraph match, distinct from many other systems. More importantly, it can handle, in a uniform manner, different data types (strings and numerical data) and SPARQL queries with wildcards, aggregate, range and top-k operators over dynamic RDF datasets. We will demonstrate the main features of our system, show how to search Wikipedia documents using gStore and how to build users´ own application using gStore through C++/Java API.
Keywords :
data handling; graph theory; pattern matching; query processing; C++; Java API; SPARQL queries; data types; dynamic RDF datasets; graph encoding; graph-based gStore RDF triple store; numerical data; strings; subgraph match; top-k operators; Electronic publishing; Encoding; Encyclopedias; Indexes; Resource description framework;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2015 IEEE 31st International Conference on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/ICDE.2015.7113413
Filename :
7113413
Link To Document :
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