Accepted Papers

 

Springer has provided access to the official proceedings for 4 weeks. Please follow these links:

Preprints of all accepted Research, Resources, and In-Use papers are available here.

The Poster, Demo, and Industry Track CEUR proceedings are available here.

Research Track

 


  1. AdaptLIL: A Real-Time Adaptive Linked Indented List Visualization for Ontology Mapping
    Bo Fu and Nicholas Chow
  2. Advancing Robotic Perception with Perceived-Entity Linking
    Mark Adamik, Romana Pernisch, Ilaria Tiddi and Stefan Schlobach
  3. BLINK: Blank Node Matching Using Embeddings
    Alexander Becker, Mohamed Ahmed Sherif and Axel-Cyrille Ngonga Ngomo
  4. Compiling SHACL into SQL
    Maxime Jakubowski and Jan Van den Bussche
  5. CRAWD: Sampling-Based Estimation of Count-Distinct SPARQL Queries
    Thi Hoang Thi Pham, Pascal Molli, Brice Nédelec, Hala Skaf-Molli and Julien Aimonier-Davat
  6. DISCIE – Discriminative Closed Information Extraction
    Cedric Möller and Ricardo Usbeck
  7. Distilling Event Sequence Knowledge From Large Language Models
    Somin Wadhwa, Oktie Hassanzadeh, Debarun Bhattacharjya, Ken Barker and Jian Ni
  8. Do LLMs Really Adapt to Domains? An Ontology Learning Perspective
    Huu Tan Mai, Cuong Xuan Chu and Heiko Paulheim
  9. DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search
    Qiaosheng Chen, Xiao Zhou, Zhiyang Zhang and Gong Cheng
  10. eSPARQL: Representing and Reconciling Agnostic and Atheistic Beliefs in RDF-star knowledge graphs
    Xinyi Pan, Daniel Hernandez, Philipp Seifer, Ralf Lämmel and Steffen Staab
  11. Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation
    Zhoutian Shao, Yuanning Cui and Wei Hu
  12. Exploiting Distant Supervision to Learn Semantic Descriptions of Tables with Overlapping Data
    Binh Vu, Craig Knoblock, Basel Shbita and Fandel Lin
  13. Finally understanding SPARQL queries, are we there already? – Multilingual Natural-Language Representations of SPARQL queries via LLMs
    Aleksandr Perevalov, Aleksandr Gashkov, Maria Eltsova and Andreas Both
  14. Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion
    Yang Liu, Xiaobin Tian, Zequn Sun and Wei Hu
  15. Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
    Yuni Susanti and Michael Färber
  16. Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
    Gerard Pons, Besim Bilalli and Anna Queralt
  17. Multi-view Transformer-based Network for Prerequisite Learning in Concept Graphs
    Zhichun Wang, Yifeng Shao, Boci Peng, Bangqi Li, Yun Li, Qianren Wang and Nijun Li
  18. Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets
    Moritz Blum, Basil Ell, Hannes Ill and Philipp Cimiano
  19. PathFinder: Returning Paths in Graph Queries
    Benjamin Farias, Wim Martens, Carlos Rojas and Domagoj Vrgoc
  20. PreAdapter: Pre-training Language Models on Knowledge Graphs
    Janna Omeliyanenko, Andreas Hotho and Daniel Schlör
  21. PRONTO: Prompt-based Detection of Semantic Containment Patterns in MLMs
    Alessandro De Bellis, Vito Walter Anelli, Tommaso Di Noia and Eugenio Di Sciascio
  22. Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web
    Kate Lin, Tarfah Alrashed and Natasha Noy
  23. Repairing Networks of EL⊥ Ontologies using Weakening and Completing
    Ying Li and Patrick Lambrix
  24. SnapE – Training Snapshot Ensembles of Link Prediction Models
    Ali Shaban and Heiko Paulheim
  25. Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion
    Jiewen Hou, Tianxing Wu, Jingting Wang, Shuang Wang and Guilin Qi
  26. Unaligned Federated Knowledge Graph Embedding
    Deyu Chen, Hong Zhu, Jinguang Gu, Rusi Chen and Meiyi Xie

Resource Track

 


  1. AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
    Michael Färber, David Lamprecht and Yuni Susanti
  2. CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks
    Gregoire Burel, Martino Mensio, Youri Peskine, Raphaël Troncy, Paolo Papotti and Harith Alani
  3. Data Privacy Vocabulary – Version 2
    Harshvardhan J. Pandit, Beatriz Esteves, Georg P. Krog, Paul Ryan, Delaram Golpayegani and Julian Flake
  4. Diachronical geometry without polygons: the extended HHT ontology for heterogeneous geometrical representations
    William Charles, Nathalie Aussenac-Gilles and Nathalie Hernandez
  5. InstructIE: A Bilingual Instruction-based Information Extraction Dataset
    Gui Honghao, Qiao Shuofei, Ye Hongbin, Sun Mengshu, Liang Lei, Jeff Z. Pan, Chen Huajun and Zhang Ningyu
  6. KGHeartBeat: a Knowledge Graph Quality Assessment Tool
    Maria Angela Pellegrino, Anisa Rula and Gabriele Tuozzo
  7. KROWN: A Benchmark for RDF Graph Materialisation
    Dylan Van Assche, David Chaves-Fraga and Anastasia Dimou
  8. SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles
    Rosni Vasu, Cristina Sarasua and Abraham Bernstein
  9. SparkKG-ML: A Library to Facilitate end–to–end Large–scale Machine Learning over Knowledge Graphs in Python
    Bedirhan Gergin and Charalampos Chelmis
  10. The ICS-SEC KG: An Integrated Cybersecurity Resource for Industrial Control Systems
    Kabul Kurniawan, Elmar Kiesling, Dietmar Winkler and Andreas Ekelhart

In-Use Track

 


  1. Developing Application Profiles for Enhancing Data and Workflows in Cultural Heritage Digitisation Processes
    Sebastian Barzaghi, Ivan Heibi, Arianna Moretti and Silvio Peroni
  2. Increasing the Accuracy of LLM Question-Answering Systems on SQL Databases with Ontologies
    Dean Allemang and Juan F. Sequeda
  3. Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data
    Antonio De Santis, Marco Balduini, Federico De Santis, Andrea Proia, Arsenio Leo, Marco Brambilla and Emanuele Della Valle
  4. Intelligent Urban Traffic Management via Semantic Interoperability across Multiple Heterogeneous Mobility Data Sources
    Mario Scrocca, Marco Grassi, Marco Comerio, Valentina Anita Carriero, Tiago Delgado Dias, Ana Vieira Da Silva and Irene Celino
  5. Leveraging Knowledge Graphs for Earth System Dataset Discovery
    Vincent Armant, Felipe Vargas-Rojas, Victoria Agazzi, Jean-Christophe Desconnets, Isabelle Mougenot, Valentina Beretta, Stephane Debard, Danai Symeonidou, Amira Mouakher, Joris Guérin, Thibault Catry and Emmanuel Roux
  6. Quality in Color: Using Knowledge Graphs for Enhanced Quality Control in an Automotive Paintshop
    Bram Steenwinckel, Colin Soete, Pieter Moens, Joris Mussche, Sofie Van Hoecke and Femke Ongenae
  7. Semantic and technically interoperable data exchange in the Flanders Smart Data Space
    Dwight Van Lancker, Steven Logghe, Julian Andres Rojas, Annelies De Craene, Ziggy Vanlishout and Pieter Colpaert
  8. UFEL: a By-design Understandable and Frugal Entity Linking System for French Microposts
    Vivien Leonard, Béatrice Markhoff and Jean-Yves Antoine

Industry Track


  1. A Benchmark Knowledge Graph of Driving Scenes for Knowledge Completion Tasks
    Ruwan Wickramarachchi, Cory Henson and Amit Sheth
  2. Assessing the Economic Impact of the 2024 Baltimore Bridge Collapse using RDF/OWL to Crosswalk the NAICS, SICS and GICS Industry Classification Systems.
    Christopher Carrino
  3. Beyond generic skills: creating-capability centric, company-specific knowledge graphs from job descriptions
    Henri Egle Sorotos, Kaan Karakeben and Ahmad Assaf
  4. Causal Knowledge Graph for Scene Understanding in Autonomous Driving
    Utkarshani Jaimini, Cory Henson and Amit Sheth
  5. Causal Neuro-Symbolic AI for Root Cause Analysis in Smart Manufacturing
    Utkarshani Jaimini, Cory Henson, Amit Sheth and Ramy Harik
  6. Empowering Causal Machine Learning for Large-scale Manufacturing Pipelines with Knowledge Graphs
    Yuxin Zi, Cory Henson and Amit Sheth
  7. Explainability of Quality Issues in Manufacturing: a Semantic Based Approach
    Léa Charbonnier, Franco Giustozzi, Julien Saunier and Cecilia Zanni-Merk
  8. Integrating system design information using a self-defining ontology
    Stephen Hookway and William Norsworthy Jr.
  9. Knowledge Graph-Driven Neuro-Symbolic System for Intelligent Document Matching
    Jans Aasman
  10. Knowledge Representation and Engineering for Smart Diagnosis of Cyber Physical Systems
    Ameneh Naghdipour, Benno Kruit, Jieying Chen, Peter Kruizinga, Godfried Webers and Stefan Schlobach
  11. openCypher Queries over Combined RDF and LPG Data in Amazon Neptune
    Willem Broekema, Mohamed Elzarei, Ora Lassila, Carlos Manuel Lopez Enriquez, Marcin Neyman, Florian Schmedding, Michael Schmidt, Andreas Steigmiller, Geo Varkey, Gregory Todd Williams and Amanda Xiang

Posters

 


  • (P1) Compressing Multi-Modal Temporal Knowledge Graphs of Videos
    Shusaku Egami, Takanori Ugai and Ken Fukuda
  • (P2) Towards A Heliophysics Knowledge Commons
    Sara Bond, Baptiste Cecconi, Edwin Henneken, Ryan McGranaghan, Francois Scharffe, Brian Thomas and Donald Winston
  • (P3) Extracting Graphs from Tables via Conceptual Models
    Sebastián Ferrada
  • (P4) Lexico-syntatic Patterns for Fine-tuning an LLM
    Rakesh Kandula, Lee Hannah and Cogan Shimizu
  • (P5) MG-GNN: Enhancing GNNs for Anomaly Detection via Minority Class Sample Generation
    Ronghui Guo, Minghui Zou, Sai Zhang, Xiaowang Zhang and Zhiyong Feng
  • (P6) Optimizing traversal queries of sensor data using a rule-based reachability approach
    Bryan-Elliott Tam, Ruben Taelman, Julián Rojas Meléndez and Pieter Colpaert
  • (P7) Decompositional Semantic Analysis for LLM-based Code Quality Evaluation
    Fangzhou Xu, Sai Zhang, Xiaowang Zhang and Yahong Han
  • (P8) EYE JS: A client-side reasoning engine supporting Notation3 and RDF Surfaces
    Jesse Wright, Jos De Roo and Ieben Smessaert
  • (P9) Collaborative System Synergizing Human Expertise and Large-scale Language Models for Legal Knowledge Graph Construction
    Ryoma Kondo, Tomohiro Watanabe, Takahiro Yoshida, Kazuyuki Yamasawa and Ryohei Hisano
  • (P10) Towards a Knowledge Graph for Teaching Knowledge Graphs
    Eleni Ilkou and Ernesto Jiménez-Ruiz
  • (P11) The EASY-AI Symbology
    Alexis Ellis and Cogan Shimizu
  • (P12) Scalable Database-Driven KGs can help Text-to-SQL
    Zhongqiu Li, Zhenhe Wu, Mengxiang Li, Zhongjiang He, Ruiyu Fang, Jie Zhang, Yu Zhao, Yongxiang Li, Zhoujun Li and Shuangyong Song
  • (P13) Supporting Next-Generation Science with a Semantic Ecosystem
    Sabbir Rashid, John Erickson, Jamie McCusker, Henrique Santos, Paulo Pinheiro, Shruthi Chari, Matthew Johnson, Jade Franklin, Kelsey Rook and Deborah McGuinness
  • (P14) KG2Tables: Your way to generate an STI benchmark for your domain
    Nora Abdelmageed, Ernesto Jimenez-Ruiz, Oktie Hassanzadeh and Birgitta König-Ries
  • (P15) KFC-QR: A Knowledge Fusion Constraint Method Based on Query Retrieval for CPE prediction
    Jinrui Zhang, Linyi Han and Xiaowang Zhang
  • (P16) Enhancing Hierarchical Knowledge Editing for LLMs: Instance-to-Concept Relationship Perspective
    Zhaoyuan Zhang, Tao Luo, Xiaowang Zhang and Sai Zhang
  • (P17) Towards Building an RDF-based Deep Document Model and Retrieval Augmented Generation System for Enhanced Question Answering with Large Language Models
    Runsong Jia, Bowen Zhang, Sergio José Rodríguez Méndez and Pouya Ghiasnezhad Omran
  • (P18) Using Knowledge Graphs and Agentic LLMs for Factuality Text Assessment and Improvement
    Linda Kwan, Pouya Ghiasnezhad Omran and Kerry Taylor
  • (P19) Semantic Error Detection in Code Translation Using Knowledge-Driven Static Analysis with AI Chain
    Lei Chen, Sai Zhang, Fangzhou Xu, Liang Wan and Xiaowang Zhang
  • (P20) From Keywords to Structured Summaries: Streamlining Scholarly Information Access
    Mahsa Shamsabadi and Jennifer D’Souza
  • (P21) Implementing Usage Control Policies Using Reification with RDF-Star and SPARQL-Star
    Ines Akaichi, Giorgos Flouris, Irini Fundulaki and Sabrina Kirrane
  • (P22) VEL: A Formally Verified Reasoner for EL++ Description Logic
    Atalay Mert Ileri and Hande McGinty
  • (P23) N3.js Reasoner: Implementing reasoning in N3.js
    Jesse Wright
  • (P24) The Linguistic Linked Open Data Cloud: Phenomenal Cosmic Powers… Itty Bitty Quality Space!
    Pasquale Esposito, Maria Angela Pellegrino, Vittorio Scarano and Gabriele Tuozzo
  • (P25) Towards Binarizing Knowledge Graph Embeddings for Node Classification
    Vitor Faria de Souza and Heiko Paulheim
  • (P26) WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction
    Oktie Hassanzadeh
  • (P27) Should All Semantic Web Reasoners Include a Neural Network?
    Jeff Heflin and Yifan Zhang

Demos

 


  • (D1) Visual Causal Question and Answering with Knowledge Graph Link Prediction
    Utkarshani Jaimini, Cory Henson and Amit Sheth
  • (D2)  openCypher over RDF: Connecting Two Worlds
    Michael Schmidt, Brad Bebee, Willem Broekema, Mohamed Elzarei, Carlos Manuel Lopez Enriquez, Marcin Neyman, Florian Schmedding, Andreas Steigmiller, Bryan Thompson, Geo Varkey, Gregory Todd Williams and Amanda Xiang
  • (D3) PKGCubes: Personalizing Multidimensional Data Analytics through Personal Knowledge Graph Cubes
    Fouad Zablith and Shadi Youssef
  • (D4) Farm Explorer: A Tool for Calculating Transparent Green House Gas Emissions
    Milan Markovic, Stefano Germano, Daniel Garijo, Peter Edwards, Andy Li, Tewodros Ayall, Rachael Ramsey and Georgios Leontidis
  • (D5) Shapes-rs: A Rust Library for handling Shapes and RDF Data in Rust
    Jose Emilio Labra Gayo, Ángel Iglesias Préstamo, Diego Martín Fernández and Marc Antoine Arnaud
  • (D6) Towards Authoring of Vocabularies and Application Profiles using Dataspecer
    Jakub Klímek, Štěpán Stenchlák, Adam Polický, Petr Škoda and Martin Nečaský
  • (D7) PathFinder Demo: Returning Paths in Graph Queries
    Vicente Calisto, Benjamin Farias, Wim Martens, Carlos Rojas and Domagoj Vrgoc
  • (D8) Automating CNN Neuron Interpretation using  Concept Induction
    Samatha Ereshi Akkamahadevi, Abhilekha Dalal and Pascal Hitzler
  • (D9) Interactive Enrichment of Tabular Data with SemTUI
    Flavio De Paoli, Roberto Avogadro, Marco Ripamonti and Matteo Palmonari
  • (D10) DBLP to Wikidata: Populating Scholarly Articles in Wikidata
    Nandana Mihindukulasooriya
  • (D11) Here’s Charlie! Realising the Semantic Web vision of Agents in the age of LLMs
    Jesse Wright
  • (D12) Data Sharing Negotiation and Contracting
    Semih Yumuşak, Soulmaz Gheisari, Jaime Osvaldo Salas, Syed Atif Moqurrab, Luis-Daniel Ibáñez and George Konstantinidis
  • (D13) ChatBS: An Exploratory Sandbox for Bridging Large Language Models with the Open Web
    John S. Erickson, Henrique Santos, Jamie P. McCusker, Sola Shirai, Deborah L. McGuinness and James A. Hendler

Special Session on LLMs

 


  1. LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs.
    Vincent Emonet, Jerven Bolleman, Severine Duvaud, Tarcisio Mendes de Farias and Ana Claudia Sima.
  2. A Benchmark for the Detection of Metalinguistic Disagreements between LLMs and Knowledge Graphs.
    Bradley Allen and Paul Groth.
  3. Assessing Large Language Models for SPARQL Query Generation in Scientific Question Answering.
    Antonello Meloni, Diego Reforgiato, Francesco Osborne, Angelo Salatino, Enrico Motta, Sahar Vahdati and Jens Lehmann.
  4. Benchmarking Ontology Validation Capabilities of LLMs.
    Stefani Tsaneva, Guntur Budi Herwanto and Marta Sabou.
  5. Ontology Corpora for LLM-based Knowledge Engineering Research.
    Guntur Budi Herwanto, Stefani Tsaneva and Marta Sabou.
  6. Information for Conversation Generation: Proposals Utilising Knowledge Graphs.
    Alex Clay and Ernesto Jiménez-Ruiz.
  7. OAEI-LLM: A Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching.
    Zhangcheng Qiang, Kerry Taylor, Teresa Wang and Jing Jiang.
  8. A Comprehensive Benchmark for Evaluating LLM-Generated Ontologies.
    Julien Plu, Oscar Moreno Escobar, Edouard Trouillez, Axelle Gapin and Raphaël Troncy.
  9. Hybrid Evaluation of Socratic Questioning for Teaching.
    Eleni Ilkou, Stephan Linzbach and Jonas Wallat.
  10. LLMs for Ontology Engineering: A landscape of Tasks and Benchmarking challenges.
    Daniel Garijo, María Poveda-Villalón, Elvira Amador-Dominguez, Ziyuan Wang, Raul García-Castro and Oscar Corcho.
  11. Benchmarking LLM-based Ontology Conceptualization: A Proposal.
    Youssra Rebboud, Pasquale Lisena, Lionel Tailhardat and Raphael Troncy.
  12. ARCLIGHT: Automated Clustering and Curriculum Learning Guided by Human Training.
    Jamie McCusker, Henrique Santos, Rishi Singh, Sabbir Rashid, Abraham Sanders, Grace Roessling, Hongji Guo, Bashirul Biswas, Deborah L. McGuinness, Tomek Strzalkowski, Qiang Ji and Jay Miller.
  13. Explainable LLM-powered RAG To Tackle Tasks In The Unstructured-structured Data Spectrum.
    Dario Garigliotti.
  14. Characteristics and Desiderata for Competency Question Benchmarks.
    Reham Alharbi, Jacopo de Berardinis, Floriana Grasso, Terry Payne and Valentina Tamma.
  15. Lessons Learned from Enterprise Question Answering on SQL Databases using LLMs and Knowledge Graphs.
    Juan F. Sequeda, Dean Allemang and Bryon Jacob.

Doctoral Consortium

 


  1. An Analysis of Information Disorder Detection deploying a hybrid NLP and Knowledge Graph-based Solution Approach.
    Mark Nicolas Gruensteidl.
  2. Concept Induction using LLMs.
    Adrita Barua.
  3. Content-based dense retrieval of open datasets.
    Qiaosheng Chen.
  4. Exploring Knowledge Graphs for Machine Learning Enhancement.
    Majlinda Llugiqi.
  5. German National Socialist Injustice on the Semantic Web: from archival records to a knowledge graph.
    Mahsa Vafaie.
  6. Improving the Cost of Updates in Virtual Knowledge Graphs.
    Romuald Esdras Wandji.
  7. Knowledge Graph Construction and Refinement for Cultural Heritage Digital Libraries.
    Mary Ann Tan.
  8. Knowledge management framework for Autonomous Digital Twins.
    Miriam Zawadi Muchika.
  9. Semantic Data Management for managing heterogeneous data sources in Chemistry 4.0.
    Sayed Hoseini.
  10. Semantics-enabled System Transparency: User-centered Explanations in Cyber-Physical Systems.
    Katrin Schreiberhuber.
  11. The need for Usage Control in Decentralized and Federated ecosystems.
    Wout Slabbinck.
  12. Understanding CNN Hidden Neuron Activations using Concept Induction over Background Knowledge.
    Abhilekha Dalal.