Publikationen am IFIS (2014--heute)

2023 2022 2021 2020 2019 2018 2017 2016 2015 2014

2023

Malte Luttermann, Edgar Baake, Juljan Bouchagiar, Benjamin Gebel, Philipp Grüning, Dilini Manikwadura, Franziska Schollemann, Elisa Teifke, Philipp Rostalski, Ralf Möller: Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain
in: German Journal of Artificial Intelligence, 2023
Thomas Sievers, Ralf Möller: Get it right: Improving Comprehensibility with adaptable Speech Expression of a Humanoid Service Robot
in: 6th International Conference on Applied Machine Learning and Data Analytics (AMLDA), 2023
Sylvia Melzer, Stefan Thiemann, Simon Schiff, Ralf Möller: Implementation of a Federated Information System by means of Reuse of Research Data archived in Research Data Repositories
in: Data Science Journal, 2023,
Sylvia Melzer, Stefan Thiemann, Ralf Möller: Poster: Digital Data Handling at UWA
in: Digital Total - Computing & Data Science an der Universität Hamburg und in der Wissenschaftsmetropole Hamburg, 2023, October
Magnus Bender, Tanya Braun, Ralf Möller, Marcel Gehrke: LESS is More: LEan Computing for Selective Summaries
in: KI 2023: Advances in Artificial Intelligence, 2023, Springer Nature Switzerland, p.1-14
Magnus Bender, Kira Schwandt, Ralf Möller, Marcel Gehrke: FrESH – Feedback-reliant Enhancement of Subjective Content Descriptions by Humans
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2023), , CEUR Workshop Proceedings
Thomas Asselborn, Sylvia Melzer, Said Aljoumani, Magnus Bender, Florian Andreas Marwitz, Konrad Hirschler, Ralf Möller: Fine-tuning BERT Models on Demand for Information Systems Explained Using Training Data from Pre-modern Arabic
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2023), , CEUR Workshop Proceedings
Sylvia Melzer, Hagen Peukert, Eliana Dal Sasso, Charles Li, Thomas Asselborn, Ralf Möller: Federated Information Retrieval in Cross-Domain Information Systems
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2023), , CEUR Workshop Proceedings
Nadja Redzuan, Marcel Gehrke, Ralf Möller, Tanya Braun: On Domain-specific Topic Modelling Using the Case of a Humanities Journal
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2023), , CEUR Workshop Proceedings
Malte Luttermann, Ralf Möller, Marcel Gehrke: Lifting Factor Graphs with Some Unknown Factors
in: Proceedings of the Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-23), 2023, Springer, Vol.14294, p.337-347
Florian Andreas Marwitz, Ralf Möller, Marcel Gehrke: PETS: Predicting Efficiently using Temporal Symmetries in Temporal PGMs
in: Proceedings of the Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-23), 2023, Springer
Sylvia Melzer, Meike Klettke, Franziska Weise, Kaja Harter-Uibopuu, Ralf Möller: EpiDoc Data Matching for Federated Information Retrieval in the Humanities
in: 1st International Workshop on AI in Digital Humanities, Computational Social Sciences and Economics Research at part of the 18th Conference on Computer Science and Intelligence Systems (FedCSIS), 2023,, Proceedings of the 2023 Federated Conference on Computer Science and Intelligence Systems, p.1063-1068
Magnus Bender, Tanya Braun, Ralf Möller, Marcel Gehrke: Unsupervised Estimation of Subjective Content Descriptions in an Information System
in: International Journal of Semantic Computing, 2023
Jinghua Groppe, Sven Groppe, Ralf Möller: Variables are a Curse in Software Vulnerability Prediction
in: The 34th International Conference on Database and Expert Systems Applications (DEXA), Panang, Malaysia, 2023
Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Möller, Mattis Hartwig: Improved Techniques for Training Tabular GANs Using Cramer s V Statistics
in: , Proceedings of the Canadian Conference on Artificial Intelligence, 2023
Simon Schiff, Mena Leemhuis, Özgür Lütfü Özçep, Ralf Möller: Query Transformation for Processing Streams in Decision-making Agents
in: The International FLAIRS Conference Proceedings,
Thomas Sievers, Magnus Bender, Ralf Möller: Connecting AI Technologies as Online Services to a Humanoid Service Robot
in: 15th International Conference on Computer and Automation Engineering (ICCAE), 2023, IEEE, p.431-435
Nils Frohwitter, Alessa Hering, Ralf Möller, Mattis Hartwig: Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance
in: Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023), 2023, p.322-329
Baum, Lena, Johns, Marco, Poikela, Maija, Möller, Ralf, Ananthasubramaniam, Bharath, Prasser, Fabian: Data Integration and Analysis for Circadian Medicine
in: Acta physiologica (Oxford, England), 2023, 02, p.e13951
Magnus Bender, Tanya Braun, Ralf Möller, Marcel Gehrke: Unsupervised Estimation of Subjective Content Descriptions
in: 17th IEEE International Conference on Semantic Computing, (ICSC 2023), February 1-3, 2023, IEEE

2022

Jinghua Groppe, Rene Schlichting, Sven Groppe, Ralf Möller: Deep Learning-Based Classification of Customer Communications of a German Utility Company
in: International Semantic Intelligence Conference (ISIC 2022), online, 2022
Sylvia Melzer, Simon Schiff, Franziska Weise, Kaja Harter, Ralf Möller: Databasing on demand for research data repositories explained with a large epidoc dataset
in: Book of Industry Papers, Poster Papers and Abstracts of the CENTERIS 2022 - Conference on ENTERprise Information Systems / ProjMAN 2022 - International Conference on Project MANagement / HCist 2022 - International Conference on Health and Social Care Info, 2022, Cruz-Cunha, M. M., Martinho, R., Rijo, R., Domongos, D., Peres, E. (Ed.), SciKA, Portugal, p.150-153
Marcel Gehrke, Ralf Möller, Tanya Braun: Who did it? Identifying the Most Likely Origins of Events
in: Proceedings of the 11th International Conference on Probabilistic Graphical Models (PGM 2022), 2022, p.217-228
Simon Schiff, Magnus Bender, Ralf Möller: Embodiment of an Agent by a Pepper Robot for Explaining Retrieval Results
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2022), , CEUR Workshop Proceedings, p.29-37
Tanya Braun, Marcel Gehrke, Florian Lau, Ralf Möller: Lifting in Multi-agent Systems under Uncertainty
in: 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), Eindhoven, Netherlands, August 1-5, 2022, 2022
Melzer, Sylvia, Thiemann, Stefan, Peukert, Hagen, Ralf, Möller: Towards a Model-based and Variant-oriented Development of a System of Systems
in: Advances in Science, Technology and Engineering Systems Journal, , Vol.7, (3), p.19-31
Simon Schiff, Sylvia Melzer, Eva Wilden, Ralf Möller: TEI-based Interactive Critical Editions
in: 15th IAPR International Workshop on Document Analysis Systems, 2022, May, Springer, Lecture Notes in Computer Science (LNCS)
Mareike Stender, Mattis Hartwig, Tanya Braun, Ralf Möller: Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model
in: The 35. International FLAIRS Conference Proceedings, 2022, May
Moritz Hoffmann, Tanya Braun, Ralf Möller: Lifted Division for Lifted Hugin Belief Propagation,
in: AISTATS-22 Proceedings of the 25th International Conference on Artificial Intelligence and Statistics,, 2022,, PMLR, p.6501-6510
Nils Finke, Ralf Möller: On the Construction of Symmetries and Retaining Lifted Representations in Dynamic Probabilistic Relational Models
in: Advances in Science, Technology and Engineering Systems Journal, 2022, Vol.7, (2)
Magnus Bender, Felix Kuhr, Tanya Braun, Ralf Möller: Estimating Context-Specific Subjective Content Descriptions using BERT
in: 16th IEEE International Conference on Semantic Computing, (ICSC 2022), Virtual, January 26-28, 2022, IEEE, p.171-172

2021

Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying and Translating Subjective Content Descriptions Among Texts
in: International Journal of Semantic Computing, 2021, Vol.15, (4), p.461-485
Marisa Mohr, Ralf Möller: Ordering Principle Components of Multivariate Fractional Brownian Motion for Solving Inverse Problems
in: Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA-ASC), 2021, IEEE
Finke, Nils, Möller, Ralf, Mohr, Marisa: Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic Probabilistic Relational Models
in: AI 2021: Advances in Artificial Intelligence, 2022, Long, Guodong, Yu, Xinghuo, Wang, Sen (Ed.), Springer International Publishing, p.543-555
Ralf Möller: Humanities-Centred Artificial Intelligence (CHAI) as an Emerging Paradigm, Jörg B. Quenzer (Ed.), p.245-266, De Gruyter, 2021, Vol.25/1
Tanya Braun, Stefan Fischer, Florian Lau, Ralf Möller: Lifting DecPOMDPs for Nanoscale Systems -- A Work in Progress
in: 10th International Workshop on Statistical Relational AI at the 1st International Joint Conference on Learning and Reasoning, 2021
Florian Marwitz, Tanya Braun, Ralf Möller: A First Step Towards Even More Sparse Encodings of Probability Distributions
in: ILP-21 Proceedings of the 30th International Conference on Inductive Logic Programming, 2021
Simon Schiff, Ralf Möller: On Human-Aware Information Seeking
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2021), , CEUR Workshop Proceedings, p.31-39
Marisa Mohr, Ralf Möller: A Summary of Canonical Multivariate Permutation Entropies on Multivariate Fractional Brownian Motion
in: Advances in Science, Technology and Engineering Systems Journal, 2021, Vol.6, (5), p.107-124
Mattis Hartwig, Tanya Braun, Ralf Möller: Handling Overlaps When Lifting Gaussian Bayesian Networks
in: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021, IJCAI Organization, Montreal, Kanada, p.4228-4234
Mareike Stender, Jan Graßhoff, Tanya Braun, Ralf Möller, Philipp Rostalski: A Hybrid Factor Graph Model for Biomedical Activity Detection
in: IEEE EMBS - International Conference on Biomedical and Health Informatics (BHI 2021), Athens, Greece, July 27-30, 2021, 2021, IEEE, p.1-4
Sylvia Melzer, Stefan Thiemann, Ralf Möller: Modeling and Simulating Federated Databases for early Validation of Federated Searches using the Broker-based SysML Toolbox
in: IEEE International Systems Conference (SysCon 2021), Vancouver, BC, Canada, April 15 - May 15, 2021, 2021, IEEE, p.1-6
Sylvia Melzer, Simon Schiff, Ralf Möller: Complementary Document Representations for Information Retrieval
in: 34th International FLAIRS Conference (FLAIRS-34), North Miami Beach, Florida, USA, May 17-19, 2021
Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller: Concept Drift Detection in Dynamic Probabilistic Relational Models
in: The International FLAIRS Conference Proceedings, 2021, Vol.34
Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller: Dynamic Domain Sizes in Temporal Probabilistic Relational Models
in: The International FLAIRS Conference Proceedings, 2021, Vol.34
Nils Finke, Marisa Mohr, Alexander Lontke, Marwin Zünfle, Samuel Kounev, Ralf Möller: Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping
in: Research Challenges in Information Science - 15th International Conference, RCIS 2021, 2021, Samira Cherfi, Anna Perini, Selmin Nurcan (Ed.), Springer International Publishing, Lecture Notes in Business Information Processing, Vol.415, p.189-204
Marisa Mohr, Florian Wilhelm, Ralf Möller: On the Behaviour of Weighted Permutation Entropy on Fractional Brownian Motion in the Univariate and Multivariate Setting
in: The International FLAIRS Conference Proceedings, 2021, April, Vol.34
Felix Kuhr, Matthis Lichtenberger, Tanya Braun, Ralf Möller: Enhancing Relational Topic Models with Named Entity Induced Links
in: Proceedings of 15th IEEE International Conference on Semantic Computing (ICSC 2021), Laguna Hills, CA, USA, January 27-29, 2021, IEEE, p.314-317
Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Context-specific Adaptation of Subjective Content Descriptions
in: 15th IEEE International Conference on Semantic Computing, (ICSC 2021), Laguna Hills, CA, USA, January 27-29, 2021, IEEE, p.134-139
Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying Subjective Content Descriptions Among Texts
in: 15th IEEE International Conference on Semantic Computing, (ICSC 2021), Laguna Hills, CA, USA, January 27-29, 2021, IEEE, p.9-16
Marisa Mohr, Christian Becker, Ralf Möller, Matthias Richter: Towards Collaborative Predictive Maintenance Leveraging Private Cross-Company Data
in: INFORMATIK 2020, 2021, Ralf H. Reussner, Anne Koziolek, Robert Heinrich (Ed.), Gesellschaft für Informatik, Bonn, p.427-432

2020

Marisa Mohr, Nils Finke, Ralf Möller: On the Behaviour of Permutation Entropy on Fractional Brownian Motion in a Multivariate Setting
in: Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020 (APSIPA-ASC), 2020, IEEE, p.189-196
Mattis Hartwig, Ralf Möller: How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes?
in: AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, , Springer, Canberra, ACT, Australia, November 29-30, 2020, Lecture Notes in Computer Science, Vol.12576, p.371-382
Nils Finke, Marcel Gehrke, Tanya Braun, Tristan Potten, Ralf Möller: Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping
in: Proceedings of the 10th International Conference on Probabilistic Graphical Models, 2020, 23-25 Sep, Manfred Jaeger, Thomas Dyhre Nielsen volu (Ed.), PMLR, Proceedings of Machine Learning Research, p.197-208
Mattis Hartwig, Ralf Möller: Lifted Query Answering in Gaussian Bayesian Networks
in: International Conference on Probabilistic Graphical Models, (PGM 2020), 23.-25. September, Aalborg, Hotel Comwell Rebild Bakker, Sk\orping, Denmark, 2020, PMLR, Proceedings of Machine Learning Research, Vol.138, p.233-244
Simon Schiff, Felix Kuhr, Sylvia Melzer, Ralf Möller: AI-based Companion Services for Humanities
in: AI methods for digital heritage, Workshop at 43rd German Conference on Artificial Intelligence, 2020
Peter Poensgen, Ralf Möller: Branch-and-Bound Ranked Search by Minimizing Parabolic Polynomials
in: Open J. Databases, 2020, Vol.7, (1), p.12-20
Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Augmenting and Automating Corpus Enrichment
in: Int. J. Semantic Computing, 2020, Vol.14, (2), p.173-197
Peter Poensgen, Ralf Möller: Quasi-Convex Scoring Functions in Branch-and-Bound Ranked Search
in: Open Journal of Databases (OJDB), 2020, Vol.7, (1), p.1-11
Marcel Gehrke, Ralf Möller, Tanya Braun: Taming Reasoning in Temporal Probabilistic Relational Models
in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020, p.2592 - 2599
Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller, Thomas Kirste: Lifted Marginal Filtering for Asymmetric Models by Clustering-based Merging
in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Tanya Braun, Ralf Möller: Lifting Queries for Lifted Inference
in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Marisa Mohr, Florian Wilhelm, Mattis Hartwig, Ralf Möller, Karsten Keller: New Approaches in Ordinal Pattern Representations for Multivariate Time Series
in: Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS-33), 2020, AAAI Press, North Miami Beach, Florida, USA, May 17-20, 2020, p.124-129
Mattis Hartwig, Marisa Mohr, Ralf Möller: Constructing Gaussian Processes for Probabilistic Graphical Models
in: Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS-33), 2020, AAAI, North Miami Beach, Florida, USA, May 17-20, 2020, p.57-62
Tanya Braun, Ralf Möller: Exploring Unknown Universes in Probabilistic Relational Models
in: 9th International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence, 2020, Springer International Publishing, Vol.abs/2001.02021, p.91–-103
Marcel Gehrke, Tanya Braun, Ralf Möller: Taming Reasoning in Temporal Probabilistic Relational Models
in: 9th International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence, 2020
Felix Kuhr, Tanya Braun, Ralf Möller: Augmenting and Automating Corpus Enrichment
in: Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20), 2020, Best Student Paper Award
Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Maintaining Topic Models for Growing Corpora
in: Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20), 2020

2019

Marcel Gehrke, Tanya Braun, Ralf Möller: Efficient Multiple Query Answering in Switched Probabilistic Relational Models
in: Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, Springer, Lecture Notes in Computer Science, Vol.11919, p.104-116
Tanya Braun, Ralf Möller: Exploring Unknown Universes in Probabilistic Relational Models
in: Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, Springer, p.91-103
Felix Kuhr, Tanya Braun, Magnus Bender, Ralf Möller: To Extend or not to Extend? Context-specific Corpus Enrichment
in: Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, Springer, p.357-368
Marcel Gehrke, Simon Schiff, Tanya Braun, Ralf Möller: Which Patient to Treat Next? Probabilistic Stream-based Reasoning for Decision Support and Monitoring
in: Proceedings of the ICBK 2019, 2019, IEEE, p.73-80
Mattis Hartwig, Marcel Gehrke, Ralf Möller: Approximate Query Answering in Complex Gaussian Mixture Models
in: Proceedings of the ICBK 2019, 2019, IEEE, p.81-86
Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis, Christian Neuenstadt, Charalampos Nikolaou, Özgür L. Özçep, Christoforos Svingos, Dmitriy Zheleznyakov, Yannis Ioannidis, Steffen Lamparter, Ralf Möller, Arild Waaler: An ontology-mediated analytics-aware approach to support monitoring and diagnostics of static and streaming data
in: Journal of Web Semantics, 2019, Vol.56, p.30-55
Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Temporal Most Probable Explanation
in: Graph-Based Representation and Reasoning - 24th International Conference on Conceptual Structures, (ICCS 2019), Marburg, Germany, July 1-4,, 2019, Springer, Lecture Notes in Computer Science, Vol.11530, p.72-85
Özgür L. Özçep, Ralf Möller: On Bounded-Memory Stream Data Processing with Description Logics
in: , 2019, June, Springer Nature Switzerland AG, Cham, Vol.11560, p.639-660
Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Temporal Maximum Expected Utility
in: Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, 2019, Springer, p.380-386
Marcel Gehrke, Tanya Braun, Ralf Möller: Uncertain Evidence for Probabilistic Relational Models
in: Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, 2019, Springer, Lecture Notes in Computer Science, Vol.11489, p.80-93
Marcel Gehrke, Tanya Braun, Ralf Möller: Relational Forward Backward Algorithm for Multiple Queries
in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference (FLAIRS-19), 2019, AAAI Press, p.464-469
Özgür L. Özçep, Felix Kuhr, Ralf Möller: Influence-Based Independence
in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference (FLAIRS-19), 2019, AAAI Press, p.26-31
Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser: Lifted Maximum Expected Utility
in: Artificial Intelligence in Health, 2019, Springer International Publishing, p.131-141
Felix Kuhr, Bjarne Witten, Ralf Möller: Corpus-Driven Annotation Enrichment
in: Proceedings of the 13th IEEE International Conference on Semantic Computing (ICSC-19), 2019, Jan, p.138-141
Felix Kuhr, Ralf Möller: Constructing and Maintaining Corpus-Driven Annotations
in: Proceedings of the 13th IEEE International Conference on Semantic Computing (ICSC-19), 2019, Jan, p.462-467
Simon Schiff, Möller, Özgür L. Özçep: Ontology-Based Data Access to Big Data
in: Open J. Databases, 2019, Vol.6, (1), p.21-32

2018

Simon Schiff, Özgür L. Özçep, Ralf Möller: Ontology-based Data Access to Big Data
in: Open Journal of Databases (OJDB), 2018, Vol.6, p.21-32, Postproceeding of Hidest 18
Marcel Gehrke, Tanya Braun, Ralf Möller: Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm
in: Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.543-555
Marcel Gehrke, Tanya Braun, Ralf Möller: Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
in: Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.556-562
Tanya Braun, Ralf Möller: Adaptive Inference on Probabilistic Relational Models
in: AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.487-500
Simon Schiff, Marcel Gehrke, Ralf Möller: Efficient Enriching of Synthesized Relational Patient Data with Time Series Data
in: Procedia Computer Science, 2018, Vol.141, p.531 - 538, The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops
Tanya Braun, Ralf Möller: Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm
in: Proceedings of KI 2018: Advances in Artificial Intelligence, 2018, Springer, p.24-37
Marcel Gehrke, Tanya Braun, Ralf Möller: Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
in: Proceedings of KI 2018: Advances in Artificial Intelligence, 2018, Springer, p.38-45
Tanya Braun, Ralf Möller: Parameterised Queries and Lifted Query Answering
in: IJCAI-18 Proceedings of the 27th International Joint Conference on Artificial Intelligence, 2018, International Joint Conferences on Artificial Intelligence Organization, p.4980-4986
Tanya Braun, Ralf Möller: Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm
in: 8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence, 2018
Marcel Gehrke, Tanya Braun, Ralf Möller: Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
in: 8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence, 2018
Marcel Gehrke, Tanya Braun, Ralf Möller: Answering Hindsight Queries with Lifted Dynamic Junction Trees
in: 8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence, 2018
Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser: Towards Lifted Maximum Expected Utility
in: Proceedings of the First Joint Workshop on Artificial Intelligence in Health in Conjunction with the 27th IJCAI, the 23rd ECAI, the 17th AAMAS, and the 35th ICML, 2018, CEUR-WS.org, CEUR Workshop Proceedings, Vol.2142, p.93-96
Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Dynamic Junction Tree Algorithm
in: Proceedings of the International Conference on Conceptual Structures, 2018, Springer, p.55-69
Tanya Braun, Ralf Möller: Lifted Most Probable Explanation
in: Proceedings of the International Conference on Conceptual Structures, 2018, Springer, p.39-54,
Özgür L. Özçep, Ralf Möller: Towards Foundations of Agents Reasoning on Streams of Percepts
in: Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference (FLAIRS-18), 2018, p.80-85
Tanya Braun, Ralf Möller: Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm - Extended Version
in: Postproceedings of the 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, 2018, Springer, p.54-72,

2017

Tanya Braun, Felix Kuhr, Ralf Möller: Unsupervised Text Annotations
in: Proceedings of the 6th Workshop on Dynamics of Knowledge and Belief (DKB-2017) and the 5th Workshop KI & Kognition (KIK-2017) co-located with 40th German Conference on Artificial Intelligence (KI 2017), 2017, 25.-29.09., CEUR-WS.org, CEUR Workshop Proceedings, Vol.1928, p.23-30
Tanya Braun, Ralf Möller: Preventing Groundings and Handling Evidence in the Lifted Junction Tree Algorithm
in: KI 2017: Advances in Artificial Intelligence. KI 2017 - 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017, 2017, Springer, LNCS, Vol.10505, p.85-98
Tanya Braun, Ralf Möller: Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm
in: Graph Structures for Knowledge Representation and Reasoning - 5th International Workshop (GKR 2017), Melbourne, Australia, 2017, 21. August
Alexander Motzek, Gustavo Gonzalez-Granadillo, Herve Debar, Joaquin Garcia-Alfaro, Ralf Möller: Selection of Pareto-efficient Response Plans based on Financial and Operational Assessments
in: EURASIP Journal on Information Security, 2017, Juli, p.2017:12
Motzek, Alexander, Möller, Ralf: Indirect Causes in Dynamic Bayesian Networks Revisited
in: Journal of Artificial Intelligence Research (JAIR), 2017, Vol.59, p.1-58
Evgeny Kharlamov, Theofilos Mailis, Gulnar Mehdi, Christian Neuenstadt, Özgür Özçep, Mikhail Roshchin, Nina Solomakhina, Ahmet Soylu, Christoforos Svingos, Sebastian Brandt, Martin Giese, Yannis Ioannidis, Steffen Lamparter, Ralf Möller, Yannis Kotidis, Arild Waaler: Semantic access to streaming and static data at Siemens
in: Web Semantics: Science, Services and Agents on the World Wide Web, 2017

2016

Alexander Motzek, Ralf Möller: Context- and Bias-Free Probabilistic Mission Impact Assessment
in: Computers & Security, DOI j.cose.2016.11.005, 2016, Vol.65, p.166-186, ISSN 0167-4048
Mona Lange, Ralf Möller: Time Series Data Mining for Network Service Dependency Analysis
in: International Joint Conference SOCO 16-CISIS 16-ICEUTE 16, San Sebastián, Spain, 2016, October 19-21, Manuel Graña, López-Guede, José Manuel, Oier Etxaniz, Álvaro Herrero, Héctor Quintián, Emilio Corchado (Ed.), Springer International Publishing, p.584-594
Karsten Martiny, Ralf Möller: Reasoning about Imprecise Beliefs in Multi-Agent Systems with PDT Logic
in: KI - Künstliche Intelligenz, 2016, p.1-9
Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis, Christian Neuenstadt, Charalampos Nikolaou, Özgür L. Özçep, Christoforos Svingos, Dmitriy Zheleznyakov, Sebastian Brandt, Ian Horrocks, Yannis E. Ioannidis, Steffen Lamparter, Ralf Möller: Towards Analytics Aware Ontology Based Access to Static and Streaming Data
in: The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part II, 2016, Paul T. Groth, Elena Simperl, Alasdair J. G. Gray, Marta Sabou, Markus Krötzsch, Freddy Lécué, Fabian Flöck, Yolanda Gil (Ed.), Lecture Notes in Computer Science, Vol.9982, p.344-362
Alexander Motzek, Ralf Möller: Probabilistic Mission Defense and Assurance
in: NATO IST-148 Symposium on Cyber Defence Situation Awareness, NATO IST-148, Sofia, Bulgaria, October 3-4, 2016
Mona Lange, Felix Kuhr, Ralf Möller: Using a Deep Understanding of Network Activities for Workflow Mining
in: KI 2016: Advances in Artificial Intelligence - 39th Annual German Conference on AI, Klagenfurt, Austria, September 26-30, 2016, Springer, Lecture Notes in Computer Science, Vol.9904, p.177-184
Tanya Braun, Ralf Möller: Lifted Junction Tree Algorithm
in: KI 2016: Advances in Artificial Intelligence - 39th Annual German Conference on AI, Klagenfurt, Austria, September 26-30, 2016, 2016, Gerhard Friedrich, Malte Helmert, Franz Wotawa (Ed.), Springer, Lecture Notes in Computer Science, Vol.9904, p.30-42
Karsten Martiny, Ralf Möller: PDT Logic: A Probabilistic Doxastic Temporal Logic for Reasoning about Beliefs in Multi-agent Systems
in: J. Artif. Intell. Res. (JAIR), 2016, Vol.57, p.39-112
Alexander Motzek, Christina Geick, Ralf Möller: Semantic Normalization and Merging of Business Dependency Models
in: CBI 2016: 18th IEEE Conference on Business Informatics, Paris, France, August 29 - September 1, 2016
Mona Lange, Felix Kuhr, Ralf Möller: Using a Deep Understanding of Network Activities for Network Vulnerability Assessment
in: Proceedings of the 1st International Workshop on AI for Privacy and Security, PrAISe@ECAI 2016, The Hague, Netherlands,29.08.-02.09., 2016, ACM, p.6:1-6:8
Mona Lange, Felix Kuhr, Ralf Möller: Using a Deep Understanding of Network Activities for Network Vulnerability Assessment
in: ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016), 2016, Gal A. Kaminka, Fox, Bouquet, Hüllermeier, Dignum, Dignum, Frank van Harmelen (Ed.), IOS Press, Frontiers in Artificial Intelligence and Applications, Vol.285, p.1583-1585
Evgeny Kharlamov, Sebastian Brandt, Ernesto Jiménez-Ruiz, Yannis Kotidis, Steffen Lamparter, Theofilos Mailis, Christian Neuenstadt, Özgür L. Özçep, Christoph Pinkel, Christoforos Svingos, Dmitriy Zheleznyakov, Ian Horrocks, Yannis E. Ioannidis, Ralf Möller: Ontology-Based Integration of Streaming and Static Relational Data with Optique
in: Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016, Fatma Özcan, Georgia Koutrika, Sam Madden (Ed.), ACM, p.2109-2112
Evgeny Kharlamov, Sebastian Brandt, Martin Giese, Ernesto Jiménez-Ruiz, Yannis Kotidis, Steffen Lamparter, Theofilos Mailis, Christian Neuenstadt, Özgür L. Özçep, Christoph Pinkel, Ahmet Soylu, Christoforos Svingos, Dmitriy Zheleznyakov, Ian Horrocks, Yannis E. Ioannidis, Ralf Möller, Arild Waaler: Enabling semantic access to static and streaming distributed data with optique: demo
in: Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, DEBS 16, Irvine, CA, USA, June 20 - 24, 2016, Avigdor Gal, Matthias Weidlich, Vana Kalogeraki, Nalini Venkasubramanian (Ed.), ACM, p.350-353
Ralf Möller, Özgür L. Özcep, Volker Haarslev, Anahita Nafissi, Michael Wessel: Abductive Conjunctive Query Answering w.r.t. Ontologies
in: KI - Künstliche Intelligenz, 2016, Vol.30, (2), p.177-182
Mona Lange, Felix Kuhr, Ralf Moeller: Using a Deeper Understanding of Network Activities for Security Event Management
in: International Journal of Network Security & Its Applications (IJNSA), 2016
Tanya Braun, Ralf Möller: Lifted Junction Tree Algorithm
IFIS, Universität zu Lübeck, 2016, Long version of the KI 2016 conference paper

2015

Mona Lange, Ralf Möller, Gregor Lang, Felix Kuhr: Event Prioritization and Correlation based on Pattern Mining Techniques
in: 14th International Conference on Machine Learning and Applications Workshops, ICMLA 2015, Miami, Florida, USA, December 9-11, 2015. Volume 2: Special Sessions and Workshop, 2015
Alexander Motzek, Ralf Möller: Exploiting Innocuousness in Bayesian Networks
in: AI 2015: Advances in Artificial Intelligence - Proceedings of the 28th Australasian Conference, Canberra, ACT, Australia, November 30 - December 4, 2015, 2015, p.411-423
Özgür L. Özçep, Ralf Möller, Christian Neuenstadt: Stream-Query Compilation with Ontologies
in: Proceedings of the 28th Australasian Joint Conference on Artificial Intelligence 2015 (AI 2015), 2015, Bernhard Pfahringer, Jochen Renz (Ed.), Springer International Publishing, LNAI, Vol.9457
Karsten Martiny, Ralf Möller: Abduction in PDT Logic
in: , AI 2015: Advances in Artificial Intelligence, 2015, Pfahringer, Bernhard, Renz, Jochen, Springer International Publishing
Ralf Möller, Christian Neuenstadt, Özgür L. Özçep: Stream-temporal Querying with Ontologies
in: HiDeSt 15--Proceedings of the First Workshop on High-Level Declarative Stream Processing (co-located with KI 2015), 2015, Daniela Nicklas, Özgür L. Özçep (Ed.), CEUR-WS.org, CEUR Workshop Proceedings, Vol.1447, p.42-55
Christian Neuenstadt, Ralf Möller, Özgür L. Özçep: OBDA for Temporal Querying and Streams with STARQL
in: HiDeSt 15--Proceedings of the First Workshop on High-Level Declarative Stream Processing (co-located with KI 2015), 2015, Daniela Nicklas, Özgür L. Özçep (Ed.), CEUR-WS.org, CEUR Workshop Proceedings, Vol.1447, p.70-75
Oliver Gries, Möller, Nafissi, Rosenfeld, Sokolski, Sebastian Wandelt: Dealing Efficiently with Ontology-Enhanced Linked Data for Multimedia
in: Proceedings of the 1st Workshop on High-Level Declarative Stream Processing co-located with the 38th German AI conference (KI 2015), Dresden, Germany, September 22, 2015., 2015, CEUR-WS.org, CEUR Workshop Proceedings, Vol.1447, p.28-41
Karsten Martiny, Ralf Möller: A Probabilistic Doxastic Temporal Logic for Reasoning about Beliefs in Multi-agent Systems
IFIS, Universität zu Lübeck, 2015, Technical Report
Alexander Motzek, Ralf Möller: Indirect Causes in Dynamic Bayesian Networks Revisited
in: IJCAI 2015: 24th International Joint Conference on Artificial Intelligence, 2015, July, AAAI, Buenos Aires, Argentina, p.703-709
Karsten Martiny, Alexander Motzek, Ralf Möller: Formalizing Agents’ Beliefs for Cyber-Security Defense Strategy Planning
in: International Joint Conference - CISIS 15 and ICEUTE 15, 8th International Conference on Computational Intelligence in Security for Information Systems / 6th International Conference on European Transnational Education, 2015, June, Springer International Publishing, Burgos, Spain, Vol.369, p.15-25
Alexander Motzek, Ralf Möller, Mona Lange, Samuel Dubus: Probabilistic Mission Impact Assessment based on Widespread Local Events
in: NATO IST-128 Workshop on Cyber Attack Detection, Forensics and Attribution for Assessment of Mission Impact, 2015, June, IST, Istanbul, Turkey
Karsten Martiny, Ralf Möller: A Probabilistic Doxastic Temporal Logic for Reasoning about Beliefs in Multi-agent Systems
in: Proceedings of the 7th International Conference on Agents and Artificial Intelligence (ICAART 2015), 2015, January 10 - 12, Lisbon, Portugal

2014

Karsten Martiny, Ralf Möller: PDT Logic for Stream Reasoning in Multi-agent Systems
in: Proceedings of the 6th International Symposium on Symbolic Computation in Software Science (SCSS 2014), 2014, December 7 - 11, Gammarth, La Marsa, Tunisia
S. Melzer, R. God, T. Kiehl, R. Möller, M. Wessel: Identifikation von Varianten durch Berechnung der semantischen Differenz von Modellen
in: Tag des Systems Engineering, p.279-288, Carl Hanser Verlag, 2014
Özgür L. Özçep, Ralf Möller, Christian Neuenstadt: A Stream-Temporal Query Language for Ontology Based Data Access
in: KI 2014, 2014, September 22 - 26, Springer International Publishing Switzerland, Stuttgart, LNCS, Vol.8736, p.183-194
Ö. L. Özçep, R. Möller: Ontology Based Data Access on Temporal and Streaming Data
in: Reasoning Web. Reasoning and the Web in the Big Data Era, 2014, September 08 - 13, Koubarakis, M., Stamou, G., Stoilos, G., Horrocks, I., Kolaitis, P., Lausen, G., Weikum, G. (Ed.), Springer, Lecture Notes in Computer Science, Vol.8714, p.279-312
Özgür L. Özçep, Ralf Möller, Christian Neuenstadt: A Stream-Temporal Query Language for Ontology Based Data Access
in: Proceedings of the 7th International Workshop on Description Logics (DL-2014), 2014, July 17 - 20, Meghyn Bienvenu, Magdalena Ortiz, Riccardo Rosati, Mantas Simkus (Ed.), Vienna, Austria