-
PlanRGCN: Predicting SPARQL Query Performance
In:
VLDB 2025, volume 18, no. 6, pp. 1621-1634
-
The Limits of Graph Samplers for Training Inductive Recommender Systems (
preprint)
In:
VLDB 2025, volume 18, no. 8, pp. 2496-2504
-
Smart SPARQL Advisor: Guiding Users in Query Formulation with Performance Prediction
In:
VLDB 2025, volume 18, no. 12, pp. 5295-5298
-
Transforming RDF Graphs to Property Graphs using Standardized Schemas
-
The Yelp Collaborative Knowledge Graph
-
Common Foundations of SHACL, ShEx, and PG-Schema (
preprint)
S. Ahmetaj, I. Boneva, J. Hidders,
K. Hose,
M. Jakubowski, J.E.L. Gayo, W. Martens, F. Mogavero, F. Murlak, C. Okulmus, A. Polleres, O. Savkovic, M. Simkus,
D. Tomaszuk
-
Handling New Users and Items: A Comparative Study of Inductive Recommenders
-
Expressive Querying and Scalable Management of Large RDF Archives
-
Bridging Gaps in RDF Validation - Insights and Innovation Opportunities in RDF Validation Practicse (
website)
-
Towards Reliable Conversational Data Analytics
S. Amer-Yahia,
J. Bogojeska, R. Facchinetti, V. Franceschi,
A. Gionis,
K. Hose,
G. Koutrika, R. Kouyos,
M. Lissandrini,
S. Maniu, K. Mirylenka,
D. Mottin,
T. Palpanas, M. Rigotti,
Y. Velegrakis
-
Fantastic Tables and Where to Find Them: Table Search in Semantic Data Lakes
-
RDFGraphGen: An RDF Graph Generator based on SHACL Shapes
to appear
-
Pasteur: Scaling Privacy-aware Data Synthesis
-
Evaluating Quality of Disparate Data Sources: A Discord-Driven Approach
-
Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data
R. Stojanov,
M. Jovanovik, S. Gramatikov, I. Mishkovski, E. Zdravevski, D. Sasanski, Z. Karapancheva, G. Spasovski, I. Vasileska, T. Eftimov, W. Zhuojun, J. Jankowski, D. Trajanov
In: Proteomics, 2025, e202400135
-
Towards Generating Synthetic EHR Knowledge Graphs - a Probabilistic Approach
-
FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
-
Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
-
Utilizing Phonetic Similarity for Cross-language Toponym Matching - a Benchmark and Prototype
In: Language Resources and Evaluation, 2025
-
Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project
G. Boriani, D. Antonio Mei, G. Y.H. Lip, on behalf of the ARISTOTELES Consortium
In: European Heart Journal (2025) 46, 775-777
-
TARGET: A Major European Project Aiming to Advance the Personalised Management of Atrial Fibrillation-Related Stroke via the Development of Health Virtual Twins Technology and Artificial Intelligence
S. Ortega-Martorell, I. Olier, M. Ohlsson, G. Y. H. Lip, on behalf of the TARGET Consortium
In: Thrombosis and Haemostasis, 2025, 125:7-11
-
RDFGraphGen: An RDF Graph Generator based on SHACL Shapes
In: CoRR abs/2407.17941 (2025)
-
MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
In: CoRR abs/2505.14101 (2025)
-
Towards Computer-Using Personal Agents
P. A. Bonatti,
J. Domingue,
A. L. Gentile,
A. Harth,
O. Hartig,
A. Hogan,
K. Hose,
E. Jiménez-Ruiz,
D. L. McGuinness,
C. Sun,
R. Verborgh,
J. Wright
In: CoRR abs/2503.15515 (2025)
-
Source Attribution in Retrieval-Augmented Generation
In: CoRR abs/2507.04480 (2025)
-
A Large Scale Test Corpus for Semantic Table Search
-
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science
M. Helali, N. Monjazeb, S. Vashisth, P. Carrier, A. Helal, A. Cavalcante, K. Ammar,
K. Hose,
E. Mansour
-
NPCS: Native Provenance Computation for SPARQL
-
Synthesizing Accurate Relational Data under Differential Privacy
A. Kapenekakis, D. Dell‘Aglio, C. Vestegham, L. Ø. Poulsen, M. Bøgsted, M. Garofalakis,
K. Hose
In: IEEE Big Data 2024, pp. 433-439, 2024
-
ORAQL: An Overlap and Reliability Aware Query Processing Layer for Federations of Triple Fragment Interfaces
-
Multimodal representation learning for medical analytics -- a systematic literature review
In: Health Informatics Journal, Volume 30, Issue 4, 2024
-
A benchmark and multi-stage pipeline for classifying underwater videos at scale
In: International Journal on Image and Data Fusion, 2024
-
AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations (
preprint)
In: AIES 2024, pp. 1051-1062
-
The Susceptibility of Example-Based Explainability Methods to Class Outliers
In: AIMLAI icw. ECML PKDD 2024
-
Integrating Multi-Modal Spatial Data using Knowledge Graphs - a Case Study of Microflora Danica
SeWeBMeDa 2024 icw. ESWC 2024, CEUR Vol. 3726
-
Mining Validating Shape for Large Knowledge Graphs via Dynamic Reservoir Sampling
SEBD 2024, pp. 25--34
-
Semantic Web: Past, Present, and Future
A. Scherp, G. Groener, P. Skoda,
K. Hose, M. Vidal
TGDK 2024, Volume 2, Issue 1
-
Data-driven PC-chair-in-the-loop Formation of Program Committees: An EDBT 2023 Experience
SIGMOD Record, 53(2), June 2024
-
Hypergraphs with Attention on Reviews for Explainable Recommendation
In: ECIR 2024, pp. 230–246, 2024
-
moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows
P. Ceravolo, T. Cartarci, M. Console, P. Cudré-Mauroux, S. Groppe,
K. Hose, J. Pokorny, O. Romero, R. Wrembel
ACM SIGWEB Newsletter, Vol. 2024 Winter
-
A European network to develop virtual twin technology for personalized stroke mangement in atrial fibrillation: the TARGET consortium
S. Ortega-Martorell, I. Olier, G. Y. H. Lip, on behalf of the TARGET Consortium
In: European Heart Journal, Volume 46, Iusse 3, 2025, pp. 229-232
-
Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation
S. Ortega-Martorell, I. Olier, M. Ohlsson, G. Y. H. Lip, on behalf of the TARGET Consortium
In: Trends in Cardiovascular Medicine, 2024
-
Recommending Tasks based on Search Queries and Missions
D. Garigliotti, K. Balog,
K. Hose, J. Bjerva
In: Journal of Natural Language Engineering, pp. 577-601, 2024
-
How Does Knowledge Evolve in Open Knowledge Graphs?
A. Polleres, R. Pernisch,
A. Bonifati, D. Dell‘Aglio, D. Dobriy, D. Dumbrava, L. Etcheverry, N. Ferranti,
K. Hose, E. Jiminez-Ruiz,
M. Lissandrini, A. Scherp, R. Tommasini, J. Wachs
TGDK, Vol. 1, Issue 1, Article No. 11, pp. 11:1–11:59
-
Tunable Query Optimizer for Web APIs and User Preferences
In: K-CAP 2023, pp. 92-100
-
The Need for Better RDF Archiving Benchmarks
In: MepDAW 2023 icw. ISWC 2023, pp. 50-54
-
StarBench: Benchmarking RDF-star Triplestores
G. Abuoda, C. Aebeloe, D. Dell‘Aglio, A. Keen,
K. Hose
In: QuWeDa 2023 icw. ISWC 2023, pp. 34-49
-
GlnRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs
In: KARS 2023 icw. RecSys 2023, pp. 80-89
-
Graph Neural Networks for Metagenomic Binning
A. Lamurias, A. Tibo,
K. Hose, M. Albertsen, T. D. Nielsen
In: CompBio Workshop icw. ICML 2023
-
Optimizing SPARQL Queries over Decentralized Knowledge Graphs (
details)
In: Semantic Web Journal, vol. 14, no. 6, pp. 1121-1165, 2023
-
Metagenomic Binning using Connectivity-constrained Variational Autoencoders
A. Lamurias, A. Tibo,
K. Hose, M. Albertsen, T. D. Nielsen
In: ICML 2023, pp. 18471-18481
-
SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes (
details)
In: SIGMOD 2023, pp. 151-154
-
GLENDA: Querying RDF Archives with SPARQL (
details)
In: ESWC 2023, pp. 75-80
-
Patient Event Sequences for Predicting Hospitalization Length of Stay
E. R. Hansen, T. D. Nielsen, T. Mulvad, M. N. Strausholm,
T. Sagi,
K. Hose
In: AIME 2023, pp. 51-56
-
Environmental impact assessment reports in Wikidata and a Wikibase
F. Årup Nielsen, I. Lyhne, D. Garigliotti, A. Butzbach, E. R. Boess,
K. Hose, L. Kørnøv
In: SemTech4STLD workshop at ESWC 2023
-
Visualizing How-Provenance Explanations for SPARQL Queries (
demo, code)
In: TheWebConf 2023, pp. 212-216
-
OntoEval: an Automated Ontology Evaluation System
In: TheWebConf 2023, pp. 82-85
-
Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus
In: NLP4KGC workshop at TheWebConf 2023, pp. 1127-1137
-
Scientific Data Extraction from Oceanographic Papers
In: Sci-K workshop at TheWebConf 2023, pp.800-804
-
Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true
D. Garigliotti, J. Bjerva, F. Årup Nielsen, A. Butzbach, I. Lyhne, L. Kørnøv,
K. Hose
In: KGS workshop icw. TheWebConf 2023, pp. 724-730
-
Diagnosis Prediction over Patient Data using Hierarchical Medical Taxonomies
In: HEDAI workshop at EDBT 2023
-
Extraction of Validating Shapes from very large Knowledge Graphs
In: PVLDB 2023, vol. 16, no. 5 (
details)
-
Scaling Large RDF Archives To Very Long Histories
In: ICSC 2023, pp. 41-48
-
Example-Driven Exploratory Analytics over Knowledge Graphs
In: EDBT 2023, pp. 105-117
-
RT-qPCR system using a degenerate probe for specific identification and differentiation of SARS-CoV-2 Omicron (B.1.1.529) variants of concern
Randi Jessen, Line Nielsen, Nicolai Balle Larsen, Arieh Sierra Cohen, Vithiagaran Gunalan, Elli-nor Marving, Alonzo Alfaro-Nunez, Charlotta Polacek, The Danish COVID-19 Genome Consortium (DCGC), Anders Fomsgaard, Katja Spiess
In: PLOS ONE, 2023
-
Digitalisation of Environmental Assessment: The Danish Ecosystem Approach
I. Lyhne, P.A. Nielsen,
K. Hose, L. Kørnøv
In: UVP, 2023
-
Hospitalization Length of Stay Prediction using Patient Event Sequences
E. R. Hansen, T. D. Nielsen, T. Mulvad, M. N. Strausholm,
T. Sagi,
K. Hose
In: CoRR abs/2023.11042, 2023
-
Linked Data Science powered by Knowledge Graphs (
details)
M. Helali, S. Vashisth, P. Carrier,
K. Hose, E. Mansour
In: CoRR abs/2303.02204, 2023