157 citations · 304 across the 15 of their papers we have counts for
16 papers
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science
Mossad Helali, Niki Monjazeb, Shubham Vashisth +6
In recent years, we have witnessed the growing interest from academia and industry in applying data science technologies to analyze large amounts of data. In this process, a myriad…
Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches -- extended version
Ghadeer Abuoda, Daniele Dell'Aglio, Arthur Keen +1
RDF and property graph models have many similarities, such as using basic graph concepts like nodes and edges. However, such models differ in their modeling approach, expressivity,…
Simple and Powerful Architecture for Inductive Recommendation Using Knowledge Graph Convolutions
Theis E. Jendal, Matteo Lissandrini, Peter Dolog +1
Using graph models with relational information in recommender systems has shown promising results. Yet, most methods are transductive, i.e., they are based on dimensionality reduct…
The Lothbrok approach for SPARQL Query Optimization over Decentralized Knowledge Graphs
Christian Aebeloe, Gabriela Montoya, Katja Hose
While the Web of Data in principle offers access to a wide range of interlinked data, the architecture of the Semantic Web today relies mostly on the data providers to maintain acc…
Graph Neural Networks for Microbial Genome Recovery
Andre Lamurias, Alessandro Tibo, Katja Hose +2
Microbes have a profound impact on our health and environment, but our understanding of the diversity and function of microbial communities is severely limited. Through DNA sequenc…
Federated Data Science to Break Down Silos [Vision]
Essam Mansour, Kavitha Srinivas, Katja Hose
Similar to Open Data initiatives, data science as a community has launched initiatives for sharing not only data but entire pipelines, derivatives, artifacts, etc. (Open Data Scien…