RDF triplestores and property graph databases are two approaches for data management
which are based on modeling, storing and querying graph-like data. In spite of such …

A significant part of the current research in the field of Artificial Intelligence is devoted to
knowledge bases. New techniques and methodologies are emerging every day for the …

Today's space of graph database solutions is characterized by two main technology stacks
that have evolved separate from one another: on one hand, there are systems that focus on …

This article presents sparql-gremlin, a tool to translate SPARQL queries to Gremlin pattern
matching traversals. Currently, sparql-gremlin is a plugin of the Apache TinkerPop graph …

Nowadays, it is possible for web search users to receive relevant answers, such as a
summary and various facts of entity, quickly from a knowledge panel. Search services …

The subgraph matching problem is a fundamental problem in graph theory that is known to
be NP-complete. In this study, performers were asked to develop algorithms to search for …

Over the last few years, the amount and availability of machine-readable Open, Linked, and
Big data on the web has increased. Simultaneously, several data management systems …

In this paper we present TelarKG, a knowledge graph (KG) that consolidates multiple
sources of information regarding the Chilean Constitutional process, particularly about the …

Modal logic extends propositional logic by adding modal operators, and enables us to
reason with concepts such as necessity, possibility, knowledge, belief, obligation, or …

Property graphs (PG) and RDF graphs are two popular database graph models, but they are
not interoperable: data modeled in PG cannot be directly integrated with other data modeled …