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ORCID8th RuleML+RR 2024: Bucharest, Romania - Companion
- Anisa Rula, Emanuel Sallinger, Ognjen Savkovic, Ioana Georgiana Ciuciu, Ioan Toma, Josiane Xavier Parreira, Radu Prodan, Hui Song, Ahmet Soylu:
Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning co-located with 20th Reasoning Web Summer School (RW 2024) and 16th DecisionCAMP 2024 as part of Declarative AI 2024, Bucharest, Romania, September 16-18, 2024. CEUR Workshop Proceedings 3816, CEUR-WS.org 2024
Rule Challenge
- Marek Sikora, Dawid Macha, Joanna Badura, Artur Kozlowski, Lukasz Wróbel:
RuleMiner: An Interactive Web Tool for Rule-Based Data Analysis. - Akira Charoensit, David Carral, Pierre Bisquert, Lucas Rouquette, Federico Ulliana:
Rule-aware Datalog Fact Explanation Using Group-SAT Solver. - Renan Fernandes, Fred Freitas, Ivan Varzinczak, Pedro P. M. Farias:
PolyCoP: A Connection Prover For (Possibly) Any Logical Language. - Ben Schack, Yifan Zhang, James Hoffmeister, Jeff Heflin:
Query Optimization of Backward-Chaining Reasoning with Learned Heuristics. - Teodoro Baldazzi, Davide Benedetto, Luigi Bellomarini, Emanuel Sallinger, Adriano Vlad:
Softening Ontological Reasoning with Large Language Models. - Theodoros Mitsikas, Ralph Schäfermeier, Yousef Taheri, Kanae Tsushima, Hisashi Hayashi, Jean-Gabriel Ganascia, Gauvain Bourgne, Ken Satoh, Adrian Paschke:
Distributed Component Interoperation and Execution for Norm-Based Real-time Compliance. - Yao Yao, Horacio González-Vélez, Madalina Croitoru:
Explanatory Dialogues with Active Learning for Rule-based Expertise. - Christel Sirocchi, Sara Montagna:
Integrating Symbolic Knowledge and Machine Learning in Healthcare. - Djordje Markovic, Marc Denecker:
Solving "Greeting a Customer with Unknown Data" Challenge with Epistemic DMN. - Guido Governatori, Ilaria Angela Amantea, Marinella Quaranta, Marianna Molinari, Simone Vagnoni, Andrea Filippo Ferraris, Giuseppe Contissa, Monica Palmirani, Marco Busso, Marco Grosso:
Fair Shifts by the Rule: a Rule-based Compliance Methodology for Medical Rosters.
Doctoral Consortium
- Marco Di Panfilo:
Towards Optimizing Ontology-Based Data Federation: Performance Insights from Experimental Studies. - Mátyás Kuti-Kreszács:
Optimising Hierarchical Demand Forecasting with Explainable AI: Insights into Key Drivers.
Industry Track
- Michel Vanden Bossche-Marquette, Léa Guizol, Rémi Le Brouster:
Ontologies and Semantic Rules in Real Life: A Mission-Critical Product and Pricing Solution for the Belgian Railways. - Dorin Clisu, Iulia Farcas, Andrei Rusu, Mihai Hulea:
A Novel User-Friendly Pipeline for Enhanced Natural Language Understanding in Human-Robot Interaction. - Laurentiu Vasiliu, Radu Prodan, Ahmet Soylu, Dumitru Roman:
An Integrated Approach Using Ontologies, Knowledge Graphs, Machine Learning, and Rules Models for Synthetic Financial Time Series Generation. - Barbara Makovec, Luis Rei, Inna Novalija:
Preparing AI for Compliance: Initial Steps of a Framework for Teaching LLMs to Reason About Compliance.
Networking Session
- Ciprian Paduraru, Rares Cristea, Alin Stefanescu:
An Overview of AI Techniques in DYNABIC Project. - Rustem Dautov, Hui Song, Dumitru Roman, Erik Johannes Husom, Sagar Sen, Vilija Balionyte-Merle, Donatella Firmani, Francesco Leotta, Jerin George Mathew, Jacopo Rossi, Lorenzo Balzotti, Andrea Morichetta, Schahram Dustdar, Thijs Metsch, Valerio Frascolla, Ahmed Khalid, Giada Landi, Juan Brenes, Ioan Toma, Róbert Szabó, Christian Schaefer, Seonghyun Kim, Cosmin Udroiu, Alexandre Ulisses, Verena Pietsch, Sigmund Akselsen, Arne Munch-Ellingsen, Irena Pavlova, Dessislava Petrova-Antonova, Hong-Gee Kim, Changsoo Kim, Bob Allen, Sunwoo Kim, Paulson Eberechukwu:
INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. - Roberto Avogadro, Iroshani Jayawardene, Xiang Ma, Ahmet Soylu, Dumitru Roman:
Koala-UI: An Interactive User Interface for Tabular Data Linking. - Rustem Dautov, Simeon Tverdal, André Skoog Bondevik, Svein Arild Frøshaug, Vera Szabo, Jan Robert Fiksdal, Martin Fodstad Stølen:
SMARAGD: Data Interoperability for Decision Support in the Norwegian Agrifood Sector. - Soulmaz Gheisari, Semih Yumusak, Jaime Osvaldo Salas, Luis-Daniel Ibáñez, George Konstantinidis, Dumitru Roman:
Towards Modular Data Marketplaces. - Petre Caraiani, Liviu-Adrian Cotfas, Flavius Cosmin Darie, Camelia Delcea, Carlos Angel Iglesias, Radu Prodan:
JobKG: A Knowledge Graph of the Romanian Job Market based on Natural Language Processing. - Adrian Paschke, Ken Satoh, Jean-Gabriel Ganascia:
Realtime Compliance Mechanism for AI (RECOMP). - Vassil Vassilev:
Is the Rule-based Order in AI Dead, or Is Still Kicking? - Mihai Gheorghe, Catalina Chinie, Dumitru Roman:
AI Research Assistant. - Adriana AnaMaria Davidescu, Vasile Alecsandru Strat, Madalina Zurini, Dumitru Roman:
Building a Knowledge Graph on Innovation in Horizon Europe Projects. - Giani Gradinaru, Madalina Zurini, Bogdan Florin Matei, Diana-Ioana Petre:
Causal Inference in the Innovation Lifecycle of AI Technologies for Agriculture. - Ioan Toma, Umutcan Serles:
PERKS: Eliciting and Exploiting Procedural Knowledge in Industry 5.0. - Zuochen Liu, Qingkai Wang, Jiandong Dang, Xiaochun Wang, Kang Li, Roberto Avogadro, Dumitru Roman, Xiang Ma:
Developing Deep Learning Based Intelligent Perception Algorithm for Thickener Equipment Monitoring. - Iroshani Jayawardene, Dumitru Roman, Yingxiang Zhao, Alexander G. Ulyashin, Ahmet Soylu, Xiang Ma:
Towards an Open Energy Management System for Integrated Energy Storage and Electric Vehicle Fast Charging Station.
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last updated on 2025-01-09 12:00 CET by the dblp team
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