… In this paper, we propose a new storage solution for RDF data that aims to avoid the … is
data-centric, as it tailors a relational schema based on a derived structure of the RDF data …

… One straightforward way to maintain RDF triples is to store triple statements in a tablelike
structure. In particular, in this approach, the input RDF data is maintained as a linearized list of …

… This paper focusses on RDF data storage and presents a full up-to-date … in RDF data
storage. The various approaches are classified according to their storage strategy, including RDF …

… arena is storage of the Resource Description Framework (RDF): … a data-centric approach
for storage of RDF in relational databases. The intuition behind our approach is that each RDF …

… We introduce the storage in Big RDF frameworks according to the technique used for storage
… This scheme is either data centric or workload centric as it clusters similar RDF data based …

Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

… storage for RDF triples by storing big RDF data in memory. For example, BitMat compresses
the RDF storage … In actuality, triples in BitMat are stored as a three triple dimensional bit-cube…

… The purpose of this paper is to provide recommendations for making a conceptual shift
from current document‐centric to data‐centric metadata. The importance of adjusting current …

… Data processing pipelines are a crucial component of any data-centric system today.
Machine learning, data integration, and knowledge graph publishing are examples where data …

… We argue that a more systematic perspective is required, and in particular, propose a
data-centric … To address the challenges of data-centric discovery, we introduce a Data-Oriented …