Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Xuchuan Shen

dblp:129/4090 · DBLP profile ↗
← Back
3ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Graph data management · 79% Data models and query languages · 21%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph data management › RDF data management
RDF triple store
0.212015
A graph-based RDF triple store · ICDE 2015
Data models and query languages › RDF query language
SPARQL
0.212015
A graph-based RDF triple store · ICDE 2015
Graph data management › graph pattern matching
subgraph matching
0.212015
A graph-based RDF triple store · ICDE 2015
Graph data management
RDF data management
0.212014
gStore: a graph-based SPARQL query engine · VLDB J. 2014
Graph data management › graph query processing
SPARQL query engine
0.212014
gStore: a graph-based SPARQL query engine · VLDB J. 2014

Methods — techniques the papers use, named apart from their topics

subgraph match · 0.2graph encoding · 0.2
YearPublicationVenuePosition
2015 A graph-based RDF triple store
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.
Xuchuan Shen, Lei Zou 0001, M. Tamer Özsu, Lei Chen 0002, Youhuan Li, Shuo Han 0010, Dongyan Zhao 0001
ICDE1
2014 gStore: a graph-based SPARQL query engine
Lei Zou 0001, M. Tamer Özsu, Lei Chen 0002, Xuchuan Shen, Ruizhe Huang, Dongyan Zhao 0001
VLDB J.4
2013 S-store: An Engine for Large RDF Graph Integrating Spatial Information
Lei Zou 0001, Yansong Feng 0002, Xuchuan Shen, Jilei Tian, Dongyan Zhao 0001
DASFAA (2)4