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 …
Storage, partitioning, indexing and retrieval in Big RDF frameworks: A survey
Abstract Resource Description Framework (RDF) is increasingly being used to model data
on the web. RDF model was designed to support easy representation and exchange of …
on the web. RDF model was designed to support easy representation and exchange of …
Bench-ranking: a first step towards prescriptive performance analyses for big data frameworks
Leveraging Big Data (BD) processing frameworks to process large-scale Resource
Description Framework (RDF) datasets holds a great interest in optimizing query …
Description Framework (RDF) datasets holds a great interest in optimizing query …
Minimum motif-cut: a workload-aware RDF graph partitioning strategy
In designing a distributed RDF system, it is quite common to divide an RDF graph into
subgraphs, called partitions, which are then distributed. Graph partitioning in general and …
subgraphs, called partitions, which are then distributed. Graph partitioning in general and …
Efficient continuous multi-query processing over graph streams
Graphs are ubiquitous and ever-present data structures that have a wide range of
applications involving social networks, knowledge bases and biological interactions. The …
applications involving social networks, knowledge bases and biological interactions. The …
Progressive querying on knowledge graphs
The exact evaluation of queries over knowledge graphs encoded as RDF data has been
extensively studied. However, in a wide array of applications, RDF queries do not even …
extensively studied. However, in a wide array of applications, RDF queries do not even …
DIAERESIS: RDF data partitioning and query processing on SPARK
The explosion of the web and the abundance of linked data demand effective and efficient
methods for storage, management, and querying. Apache Spark is one of the most widely …
methods for storage, management, and querying. Apache Spark is one of the most widely …
Personalized query engine optimization for link traversal-based query processing over structured decentralized environments
R Eschauzier - European Semantic Web Conference, 2024 - Springer
The scale of decentralization envisioned for the presently centralized web requires querying
approaches that can query numerous small data sources instead of a few large ones. Link …
approaches that can query numerous small data sources instead of a few large ones. Link …
[PDF][PDF] Storage, indexing, query processing, and benchmarking in centralized and distributed RDF engines: a survey
M Saleem - Authorea Preprints, 2023 - authorea.com
Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF
Engines: A Survey Page 1 P osted on 12 Sep 2023 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech …
Engines: A Survey Page 1 P osted on 12 Sep 2023 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech …
smart-KG: Partition-Based Linked Data Fragments for querying knowledge graphs
RDF and SPARQL provide a uniform way to publish and query billions of triples in open
knowledge graphs (KGs) on the Web. Yet, provisioning of a fast, reliable, and responsive …
knowledge graphs (KGs) on the Web. Yet, provisioning of a fast, reliable, and responsive …