A survey of RDF stores & SPARQL engines for querying knowledge graphs
RDF has seen increased adoption in recent years, prompting the standardization of the
SPARQL query language for RDF, and the development of local and distributed engines for …
SPARQL query language for RDF, and the development of local and distributed engines for …
RDF data storage and query processing schemes: A survey
The Resource Description Framework (RDF) represents a main ingredient and data
representation format for Linked Data and the Semantic Web. It supports a generic graph …
representation format for Linked Data and the Semantic Web. It supports a generic graph …
S2RDF: RDF querying with SPARQL on spark
A Schätzle, M Przyjaciel-Zablocki, S Skilevic… - arXiv preprint arXiv …, 2015 - arxiv.org
RDF has become very popular for semantic data publishing due to its flexible and universal
graph-like data model. Yet, the ever-increasing size of RDF data collections makes it more …
graph-like data model. Yet, the ever-increasing size of RDF data collections makes it more …
A survey and experimental comparison of distributed SPARQL engines for very large RDF data
Distributed SPARQL engines promise to support very large RDF datasets by utilizing shared-
nothing computer clusters. Some are based on distributed frameworks such as MapReduce; …
nothing computer clusters. Some are based on distributed frameworks such as MapReduce; …
Fast and concurrent {RDF} queries with {RDMA-Based} distributed graph exploration
Many public knowledge bases are represented and stored as RDF graphs, where users can
issue structured queries on such graphs using SPARQL. With massive queries over large …
issue structured queries on such graphs using SPARQL. With massive queries over large …
DREAM: distributed RDF engine with adaptive query planner and minimal communication
The Resource Description Framework (RDF) and SPARQL query language are gaining
wide popularity and acceptance. In this paper, we present DREAM, a distributed and …
wide popularity and acceptance. In this paper, we present DREAM, a distributed and …
Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning
State-of-the-art distributed RDF systems partition data across multiple computer nodes
(workers). Some systems perform cheap hash partitioning, which may result in expensive …
(workers). Some systems perform cheap hash partitioning, which may result in expensive …
Sempala: Interactive SPARQL query processing on hadoop
A Schätzle, M Przyjaciel-Zablocki, A Neu… - The Semantic Web …, 2014 - Springer
Driven by initiatives like Schema. org, the amount of semantically annotated data is
expected to grow steadily towards massive scale, requiring cluster-based solutions to query …
expected to grow steadily towards massive scale, requiring cluster-based solutions to query …
S2X: graph-parallel querying of RDF with GraphX
A Schätzle, M Przyjaciel-Zablocki, T Berberich… - … Data Management and …, 2016 - Springer
RDF has constantly gained attention for data publishing due to its flexible data model,
raising the need for distributed querying. However, existing approaches using general …
raising the need for distributed querying. However, existing approaches using general …
Storing massive Resource Description Framework (RDF) data: a survey
Z Ma, MAM Capretz, L Yan - The Knowledge Engineering Review, 2016 - cambridge.org
The Resource Description Framework (RDF) is a flexible model for representing information
about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation …
about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation …