Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xuchuan Shen
dblp:129/4090
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Graph data management › RDF data management
RDF triple store |
0.2 | 1 | 2015 | A graph-based RDF triple store · ICDE 2015 |
Data models and query languages › RDF query language
SPARQL |
0.2 | 1 | 2015 | A graph-based RDF triple store · ICDE 2015 |
Graph data management › graph pattern matching
subgraph matching |
0.2 | 1 | 2015 | A graph-based RDF triple store · ICDE 2015 |
Graph data management
RDF data management |
0.2 | 1 | 2014 | gStore: a graph-based SPARQL query engine · VLDB J. 2014 |
Graph data management › graph query processing
SPARQL query engine |
0.2 | 1 | 2014 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | A graph-based RDF triple storeabstractIn 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 |
ICDE | 1 |
| 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 |