LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than
28 billion unique triples from 650 K datasets over a single self-indexed file. This corpus can …

There is an emerging demand on efficiently archiving and (temporal) querying different
versions of evolving semantic Web data. As novel archiving systems are starting to address …

This paper analyzes the potential of Semantic Web technologies to support innovation in
industrial scenarios. The study focuses in particular on RDF stores, the software components …

We investigate the problem of learning graph queries by exploiting user examples. The input
consists of a graph database in which the user has labeled a few nodes as positive or …

Subgraph search problems such as maximal clique enumeration and subgraph matching
generate a search-space tree which is traversed in depth-first manner by serial backtracking …

Graph data management is instrumental for several use cases such as recommendation,
root cause analysis, financial fraud detection, and enterprise knowledge representation …

Abstract Contemporary Semantic Web research is in the business of optimizing algorithms
for only a handful of datasets such as DBpedia, BSBM, DBLP and only a few more. This …

With the influx of Web 3.0 the focus in Big Data Analytics has shifted towards modelling
highly interconnected data and analysing relationships between them. Graph databases …

Understanding how genetic differences between individuals impact the regulation,
expression, and ultimately function of proteins is an important step toward realizing the …

Subgraph matching is a fundamental building block in graph analytics. Due to its high time
complexity, GPU-based solutions have been proposed for sub graph matching. Most …