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 …

Context-aware computing enriches the capabilities of intelligent devices complemented with
smart applications and helps establish smart ecosystems in fields such as Ambient …

We describe our method for benchmarking Semantic Web knowledge base systems with
respect to use in large OWL applications. We present the Lehigh University Benchmark …

SPARQL is the standard language for querying RDF data. In this article, we address
systematically the formal study of the database aspects of SPARQL, concentrating in its …

Activities such as Web Services and the Semantic Web are working to create a web of
distributed machine understandable data. In this paper we present an application …

Ontologies have been successfully applied as a semantic enabler of communication
between both users and applications in fragmented, heterogeneous multinational business …

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 …

We study fundamental aspects related to the efficient processing of the SPARQL query
language for RDF, proposed by the W3C to encode machine-readable information in the …

Semantic search has been one of the motivations of the semantic Web since it was
envisioned. We propose a model for the exploitation of ontology-based knowledge bases to …

Currently, techniques for content description and query processing in Information Retrieval
(IR) are based on keywords, and therefore provide limited capabilities to capture the …