Big Data pervades nearly all areas of life sciences, yet the analysis of large integrated data
sets remains a major challenge. Moreover, the field of life sciences is highly fragmented and …

Integrating natural language processing (NLP) techniques with spatial data infrastructures
(SDIs) potentially revolutionize the way users interact with geospatial data. This article …

We propose WDBench: a query benchmark for knowledge graphs based on Wikidata,
featuring real-world queries extracted from the public query logs of the Wikidata SPARQL …

Knowledge graphs (KGs) such as DBpedia, Freebase, YAGO, Wikidata, and NELL were
constructed to store large-scale, real-world facts as (subject, predicate, object) triples-that …

Knowledge from diverse application domains is organized as knowledge graphs (KGs) that
are stored in RDF engines accessible in the web via SPARQL endpoints. Expressing a well …

In the realm of Parkinson's Disease (PD) research, the integration of wearable sensor data
with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and …

Digital Twins are digital representations of systems in the Internet of Things (IoT) that are
often based on AI models that are trained on data from those systems. Semantic models are …

Recently, a pragmatic approach toward achieving semantic search has made significant
progress with knowledge graph embedding (KGE). Although many standards, methods, and …

SPARQL property path queries provide a succinct way to write complex navigational queries
over RDF knowledge graphs. However, their evaluation remains difficult as they may involve …

The growing interest in data-driven medicine, in conjunction with the formation of initiatives
such as the European Health Data Space (EHDS) has demonstrated the need for …