[HTML][HTML] GeoNLU: Bridging the gap between natural language and spatial data infrastructures
Integrating natural language processing (NLP) techniques with spatial data infrastructures
(SDIs) potentially revolutionize the way users interact with geospatial data. This article …
(SDIs) potentially revolutionize the way users interact with geospatial data. This article …
[HTML][HTML] The potential of a data centred approach & knowledge graph data representation in chemical safety and drug design
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 …
sets remains a major challenge. Moreover, the field of life sciences is highly fragmented and …
Wdbench: A wikidata graph query benchmark
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 …
featuring real-world queries extracted from the public query logs of the Wikidata SPARQL …
Knowledge graphs querying
A Khan - ACM SIGMOD Record, 2023 - dl.acm.org
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 …
constructed to store large-scale, real-world facts as (subject, predicate, object) triples-that …
A universal question-answering platform for knowledge graphs
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 …
are stored in RDF engines accessible in the web via SPARQL endpoints. Expressing a well …
Evaluating ontology-based pd monitoring and alerting in personal health knowledge graphs and graph neural networks
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 …
with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and …
Scaling knowledge graphs for automating AI of digital twins
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 …
often based on AI models that are trained on data from those systems. Semantic models are …
Learned semantic index structure using knowledge graph embedding and density-based spatial clustering techniques
Recently, a pragmatic approach toward achieving semantic search has made significant
progress with knowledge graph embedding (KGE). Although many standards, methods, and …
progress with knowledge graph embedding (KGE). Although many standards, methods, and …
Tackling Challenges in Implementing Large-Scale Graph Databases
Graph databases (GDBs) 13, 30 have gained momentum with the rise of large unstructured
repositories of information that emphasize relations between entities. Dozens of GDB …
repositories of information that emphasize relations between entities. Dozens of GDB …
Join ordering of SPARQL property path queries
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 …
over RDF knowledge graphs. However, their evaluation remains difficult as they may involve …