activity
20132023
most citedMapSQ: A MapReduce-based Framework for SPARQL Queries on GPU

6 citations · 22 across the 19 of their papers we have counts for

collaborators
Showing cs.DBShow all

12 papers · 1 filter

cs.DB2018★ 4 cited

gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing

Xiaowang Zhang, Mingyue Zhang, Peng Peng +3

Resource Description Framework (RDF) has been widely used to represent information on the web, while SPARQL is a standard query language to manipulate RDF data. Given a SPARQL quer…

cs.DB2018★ 1 cited

TrQuery: An Embedding-based Framework for Recommanding SPARQL Queries

Lijing Zhang, Xiaowang Zhang, Zhiyong Feng

In this paper, we present an embedding-based framework (TrQuery) for recommending solutions of a SPARQL query, including approximate solutions when exact querying solutions are not…

cs.DB2017★ 6 cited

MapSQ: A MapReduce-based Framework for SPARQL Queries on GPU

Jiaying Feng, Xiaowang Zhang, Zhiyong Feng

In this paper, we present a MapReduce-based framework for evaluating SPARQL queries on GPU (named MapSQ) to large-scale RDF datesets efficiently by applying both high performance.…

cs.DB2017

hMDAP: A Hybrid Framework for Multi-paradigm Data Analytical Processing on Spark

Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng

We propose hMDAP, a hybrid framework for large-scale data analytical processing on Spark, to support multi-paradigm process (incl. OLAP, machine learning, and graph analysis etc.)…

cs.DB2017

PRSP: A Plugin-based Framework for RDF Stream Processing

Qiong Li, Xiaowang Zhang, Zhiyong Feng

In this paper, we propose a plugin-based framework for RDF stream processing named PRSP. Within this framework, we can employ SPARQL query engines to process C-SPARQL queries with…

cs.DB2016★ 1 cited

Path discovery by Querying the federation of Relational Database and RDF Graph

Xiaowang Zhang, Jiahui Zhang, Muhammad Qasim Yasin +2

The class of queries for detecting path is an important as those can extract implicit binary relations over the nodes of input graphs. Most of the path querying languages used by t…

cs.DB2016

PIWD: A Plugin-based Framework for Well-Designed SPARQL

Xiaowang Zhang, Zhenyu Song, Zhiyong Feng +1

In the real world datasets (e.g.,DBpedia query log), queries built on well-designed patterns containing only AND and OPT operators (for short, WDAO-patterns) account for a large pr…

cs.DB2016

RORS: Enhanced Rule-based OWL Reasoning on Spark

Zhihui Liu, Zhiyong Feng, Xiaowang Zhang +2

The rule-based OWL reasoning is to compute the deductive closure of an ontology by applying RDF/RDFS and OWL entailment rules. The performance of the rule-based OWL reasoning is of…

cs.DB2016

Efficient Approximation of Well-Designed SPARQL Queries

Zhenyu Song, Zhiyong Feng, Xiaowang Zhang +2

Query response time often influences user experience in the real world. However, it possibly takes more time to answer a query with its all exact solutions, especially when it cont…

cs.DB2016

On the Statistical Analysis of Practical SPARQL Queries

Xingwang Han, Zhiyong Feng, Xiaowang Zhang +3

In this paper, we analyze some basic features of SPARQL queries coming from our practical world in a statistical way. These features include three statistic features such as the oc…

cs.DB2015

Context-Free Path Queries on RDF Graphs

Xiaowang Zhang, Zhiyong Feng, Xin Wang +2

Navigational graph queries are an important class of queries that canextract implicit binary relations over the nodes of input graphs. Most of the navigational query languages used…

cs.DB2014★ 4 cited

On the satisfiability problem for SPARQL patterns

Xiaowang Zhang, Jan Van den Bussche, François Picalausa

The satisfiability problem for SPARQL patterns is undecidable in general, since the expressive power of SPARQL 1.0 is comparable with that of the relational algebra. The goal of th…