Publications

2026

• Machine Learning in Optimized SPARQL Query Execution Over RDF Knowledge Graphs

  to appear
  M. S. Nisar, M. Saleem, A.-C. Ngonga Ngomo, S. Tramp, N. Sande, M. Jovanovik, M. Spasić · In: Artificial Intelligence Conference 2026, to appear
• Evolving FedX: High-Performance SPARQL Federation in the Eclipse RDF4J Ecosystem

  to appear
  A. Schwarte, P. Haase, K. Hose · In: ISWC 2026, to appear
• Computing Why-Provenance in Property Graph Queries

  to appear
  K. Ganepola, M. Jakubowski, K. Hose · In: VLDB 2026, to appear
• Interoperability in Healthcare: A Primer and New Frontiers

  to appear
  A. Ionescu, P. Carbone, S. Meijer, C. Koutras, J. Freire, K. Hose, J. Raghothama · In: VLDB 2026, to appear
• From Clicks to Clips: A Multimodal Retrieval System for E-Commerce Video Recommendations

  to appear
  K. Mirylenka, E. Malykh, M. Ravanbakhsh, M. Gygli, M. Buchmann, A. Dzhoha, S. Borzenko, F. Catino, M. Gaafar, T. Kober, D. d'Andrea, E. Langhans · In: ECML-PKDD 2026, to appear
  preprint
• SEOntology: A Domain Ontology for Semantic Modeling of Search Engine Optimization Workflows

  to appear
  E. Gjorgjevska, D. Riccitelli, M. Jovanovik and A. Volpini · In: SEMANTiCS 2026, to appear
• A Graph-Native Approach to Normalization

  to appear
  J. Schrott, M. Jakubowski, K. Hose · In: EDBT 2027, to appear
• MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

  to appear
  E. Lavrinovics, R. Biswas, K. Hose, J. Bjerva · In: ICML 2026, to appear
• Native Provenance Computation for Federated and Non-Federated SPARQL Queries

  pdf
  Z. Asma, D. Hernandez, L. Galárraga, G. Flouris, I. Fundulaki, K. Hose · In: TGDK, Volume 4, Issue 1, 2026
• How human-centric are our graph data abstractions?

  to appear
  A. Bonifati, A. Dimou, S. Dumbrava, G. Fletcher, K. Hose, G. Konstantinidis, J. Labra-Gayo, W. Martens, N. Pardal, L. Peterfreund, K. Thornton, M. Vidal, H. Voigt · In: TGDK, to appear
• An End-to-End Re-Evaluation of Table Entity-Linking Systems

  to appear
  M. P. Christensen, M. Lissandrini, K. Hose · In: ICDE 2026, to appear
• Towards LLM-KG Symbiosis for Reducing Factual Hallucinations

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  T. Dolci, M. Jovanovik, K. Hose · In: QuaLLM-KG 2026 icw. EDBT 2026
• MetriKG: Profiling Static and Evolving Knowledge Graphs

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  H. Günes, M. Jovanovik, K. Hose · In: The Web Conference 2026
• Jazero: A Semantic Table Search System

  to appear
  M. P. Christensen, M. Lissandrini, K. Hose · In: ICDE 2026, to appear
• Exploring Exploratory Querying

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  M. Arenas, E. Franconi, J. Hammerer, O. Hartig, K. Hose, L. Koesten, G. Konstantinidis, L. Libkin, W. Martens, Y. Sasaki, S. Scherzinger, K. Thornton, H. Wu · In: VLDB 2026, PVLDB 2025, vol. 18, no 13, pp. 5731-5739
• Expressive Querying and Scalable Management of Large RDF Archives

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  O. Pelgrin, R. Taelman, L. Galárraga, K. Hose · In: Semantic Web 17(3), 2026
• Source Attribution in Retrieval-Augmented Generation

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  I. Nematov, T. Kalai, E. Kuzmenko, G. Fugagnoli, D. Sacharidis, K. Hose, T. Sagi · In: AIMLAI Workshop iwc. ECML PKDD 2025: pp. 317-332
• Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism

  to appear
  Antheas Kapenekakis, Bent Thomsen, Katja Hose, Michele Albano · In: SynDAiTE icw. ECML-PKDD 2026, to appear
• Exploring the Landscape of Data Fusion

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  Y. Akter, A. Abelló, P. Jovanovic, T. Sagi, K. Hose · In: Data Engineering for Data Science, Springer, 2026
• Example-Based Explainability in Machine Learning

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  I. Nematov, D. Sacharidis, K. Hose, T. Sagi · In: Data Engineering for Data Science, Springer, 2026
• Scalable and Privacy-Aware Relational Data Synthesis

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  A. Kapenekakis, D. Dell’Aglio, M. Bøgsted, M. Garofalakis, K. Hose · In: Data Engineering for Data Science, Springer, 2026
• MEHDIE: the Middle East Heritage Data Integration Endeavor

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  T. Sagi, M. Zaga, S. Rusinek, E. Lev, M. Lavee, K. Hose · In: Digital Scholarship in the Humanities, 2026
• Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism

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  A. Kapenekakis, B. Thomsen, K. Hose, M. Albano · In: CoRR abs/2603.27254 (2026)
• Graph-Native Normalization

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  J. Schrott, M. Jakubowski, K. Hose · In: CoRR abs/2603.02995 (2026)
• A Community Survey on SHACL and ShEx: Briding Gaps in RDF Validation

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  M. Jakubowski, D. Tomaszuk, K. Hose · In: CoRR abs/2606.03502 (2026)
• Reducing LLM Hallucinations with Knowledge Graphs: A Survey

  pdf
  T. Dolci, M. Jovanovik, K. Hose · In: HAL Science hal-05676631v1 (2026)

2025

• PlanRGCN: Predicting SPARQL Query Performance

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  A. Moharanaj, M. Lissandrini, K. Hose · In: VLDB 2025, volume 18, no. 6, pp. 1621-1634
• The Limits of Graph Samplers for Training Inductive Recommender Systems

  pdf
  T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose · In: VLDB 2025, volume 18, no. 8, pp. 2496-2504
  preprint
• Smart SPARQL Advisor: Guiding Users in Query Formulation with Performance Prediction

  pdf
  A. Moharanaj, M. Lissandrini, K. Hose · In: VLDB 2025, volume 18, no. 12, pp. 5295-5298
• Transforming RDF Graphs to Property Graphs using Standardized Schemas

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  K. Rabbani, M. Lissandrini, A. Bonifati, K. Hose · In: SIGMOD 2025, Volume 2, Issue 6, pp. 1-25, 2024
• The Yelp Collaborative Knowledge Graph

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  T. E. Jendal, M. Corfixen, M. Olesen, P. Dolog, K. Hose, D. Dell'Aglio, M. Lissandrini · In: CIKM 2025, pp. 6414-6419
• Common Foundations of SHACL, ShEx, and PG-Schema

  pdf
  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 · In: The Web Conference 2025, pp. 8-21
  preprint
• RDFGraphGen: An RDF Graph Generator based on SHACL Shapes

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  M. Jovanovik, M. Vecovska, M. Jakubowski, K. Hose · In: Knowledge Graphs, pp. 111-125, 2025 (IJKGC 2025)
• Handling New Users and Items: A Comparative Study of Inductive Recommenders

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  T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose · In: Data Mining and Knowledge Discovery 39, 58 (2025)
• Bridging Gaps in RDF Validation - Insights and Innovation Opportunities in RDF Validation Practicse

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  M. Jakubowski, D. Tomaszuk, K. Hose · In: SEMANTiCS 2025
  website
• Towards Reliable Conversational Data Analytics

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  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 · In: EDBT 2025, pp. 962-969
• Fantastic Tables and Where to Find Them: Table Search in Semantic Data Lakes

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  M. P. Christensen, A. Leventidis, M. Lissandrini, L. Di Rocco, R. J. Miller, K. Hose · In: EDBT 2025, pp. 397-410
• Pasteur: Scaling Privacy-aware Data Synthesis

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  A. Kapenekakis, D. Dell'Aglio, M. Bøgsted, M. Garofalakis, K. Hose · In: ADBIS 2025, pp. 164–180.
  *** Best Paper Award ***
• Evaluating Quality of Disparate Data Sources: A Discord-Driven Approach

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  Y. Akter, A. Abelló, P. Jovanovic, T. Sagi, K. Hose · In: ADBIS 2025, pp. 147–163.
• Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data

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  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

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  M. Jovanovik, E. Milenkova, M. Jakubowski, K. Hose · In: GOBLIN Workshop 2025
• FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration

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  D. Tomaszuk, A. Smajevic, T. Sagi, K. Hose · In: CBMS 2025, pp. 1-6
• Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective

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  E. Lavrinovics, R. Biswas, J. Bjerva, K. Hose · In: Journal of Web Semantics, Volume 85, 2025
• Utilizing Phonetic Similarity for Cross-language Toponym Matching - a Benchmark and Prototype

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  T. Sagi, M. Zaga, S. Rusinek, M. R. Fekete, J. Bjerva, K. Hose · In: Language Resources and Evaluation, 2025
• Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project

  pdf
  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

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  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

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  M. Jovanovik, M. Vecovska, M. Jakubowski, andK. Hose · In: CoRR abs/2407.17941 (2025)
• MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

  pdf
  E. Lavrinovics, R. Biswas, J. Bjerva, K. Hose · In: CoRR abs/2505.14101 (2025)
• Towards Computer-Using Personal Agents

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  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

  pdf
  I. Nematov, T. Kalai, E. Kuzmenko, G. Fugagnoli, D. Sacharidis, K. Hose, T. Sagi · In: CoRR abs/2507.04480 (2025)

2024

• A Large Scale Test Corpus for Semantic Table Search

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  A. Leventidis, M. P. Christensen, M. Lissandrini, L. Di Rocco, K. Hose, R. J. Miller · SIGIR 2024, pp. 1142--1151
• KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science

  pdf
  M. Helali, N. Monjazeb, S. Vashisth, P. Carrier, A. Helal, A. Cavalcante, K. Ammar, K. Hose, E. Mansour · ICDE 2024, pp. 179-192
• NPCS: Native Provenance Computation for SPARQL

  pdf
  Z. Asma, D. Hernandez, L. Galárraga, G. Flouris, I. Fundulaki, K. Hose · TheWebConf 2024, pp. 2085-2093
  video
• Synthesizing Accurate Relational Data under Differential Privacy

  pdf
  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

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  T. Zeimetz, K. Hose, R. Schenkel · In: SEMANTiCS 2024, pp. 328-344
• Multimodal representation learning for medical analytics -- a systematic literature review

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  E. R. Hansen, T. Sagi, K. Hose · In: Health Informatics Journal, Volume 30, Issue 4, 2024
• A benchmark and multi-stage pipeline for classifying underwater videos at scale

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  S. K. Larsen, L. E. Rasmussen, T. Sagi, K. Hose, Y. Lehahn · In: International Journal on Image and Data Fusion, 2024
• AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations

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  I. Nematov, D. Sacharidis, K. Hose, T. Sagi · In: AIES 2024, pp. 1051-1062
  preprint
• The Susceptibility of Example-Based Explainability Methods to Class Outliers

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  I. Nematov, D. Sacharidis, T. Sagi, K. Hose · In: AIMLAI icw. ECML PKDD 2024
• Integrating Multi-Modal Spatial Data using Knowledge Graphs - a Case Study of Microflora Danica

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  M. Corfixen, T. Heede, T. Sagi, M. Albertsen, T. D. Nielsen, K. Hose · SeWeBMeDa 2024 icw. ESWC 2024, CEUR Vol. 3726
• Mining Validating Shape for Large Knowledge Graphs via Dynamic Reservoir Sampling

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  M. Lissandrini, K. Rabbani, K. Hose · SEBD 2024, pp. 25--34
• Semantic Web: Past, Present, and Future

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  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

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  S. Bhowmick, K. Hose · SIGMOD Record, 53(2), June 2024
• Hypergraphs with Attention on Reviews for Explainable Recommendation

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  T. E. Jendal, TH Le, H. Lauw, M. Lissandrini, P. Dolog, K. Hose · In: ECIR 2024, pp. 230–246, 2024
• moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows

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  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

  pdf
  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

  pdf
  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

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  D. Garigliotti, K. Balog, K. Hose, J. Bjerva · In: Journal of Natural Language Engineering, pp. 577-601, 2024

2023

• Extraction of Validating Shapes from very large Knowledge Graphs

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  K. Rabbani, M. Lissandrini, K. Hose · In: PVLDB 2023, vol. 16, no. 5
  *** IFIP Manfred Paul Award ***
  details
• How Does Knowledge Evolve in Open Knowledge Graphs?

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  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

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  T. Zeimetz, K. Hose, R. Schenkel · In: K-CAP 2023, pp. 92-100
• The Need for Better RDF Archiving Benchmarks

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  O. Pelgrin, R. Taelman, L. Galárraga, K. Hose · In: MepDAW 2023 icw. ISWC 2023, pp. 50-54
• StarBench: Benchmarking RDF-star Triplestores

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  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

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  T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose · In: KARS 2023 icw. RecSys 2023, pp. 80-89
• Graph Neural Networks for Metagenomic Binning

  pdf
  A. Lamurias, A. Tibo, K. Hose, M. Albertsen, T. D. Nielsen · In: CompBio Workshop icw. ICML 2023
• Optimizing SPARQL Queries over Decentralized Knowledge Graphs

  pdf
  C. Aebeloe, G. Montoya, K. Hose · In: Semantic Web Journal, vol. 14, no. 6, pp. 1121-1165, 2023
  details
• Metagenomic Binning using Connectivity-constrained Variational Autoencoders

  pdf
  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

  pdf
  K. Rabbani, M. Lissandrini, K. Hose · In: SIGMOD 2023, pp. 151-154
  details
• GLENDA: Querying RDF Archives with SPARQL

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  O. Pelgrin, R. Taelman, L. Galárraga, K. Hose · In: ESWC 2023, pp. 75-80
  details
  *** Best Demo Award ***
• Patient Event Sequences for Predicting Hospitalization Length of Stay

  pdf
  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

  pdf
  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

  pdf
  L. Galárraga, D. Hernandez, A. Katim, K. Hose · In: TheWebConf 2023, pp. 212-216
  demo, code
• OntoEval: an Automated Ontology Evaluation System

  pdf
  A. Zaitoun, T. Sagi, K. Hose · In: TheWebConf 2023, pp. 82-85
• Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus

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  A. Zaitoun, T. Sagi, K. Hose · In: NLP4KGC workshop at TheWebConf 2023, pp. 1127-1137
  *** Best Paper Award ***
• Scientific Data Extraction from Oceanographic Papers

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  B. Eyðfinsson Veyhe, T. Sagi, K. Hose · 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

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  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

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  E. R. Hansen, T. Sagi, K. Hose · In: HEDAI workshop at EDBT 2023
• Scaling Large RDF Archives To Very Long Histories

  pdf
  O. Pelgrin, R. Taelman, L. Galárraga, K. Hose · In: ICSC 2023, pp. 41-48
• Example-Driven Exploratory Analytics over Knowledge Graphs

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  M. Lissandrini, K. Hose, T. B. Pedersen · 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

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  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

  pdf
  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

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  M. Helali, S. Vashisth, P. Carrier, K. Hose, E. Mansour · In: CoRR abs/2303.02204, 2023
  details