@inproceedings{MelzerTM21,
  author    = {Sylvia Melzer and Stefan Thiemann and Ralf Möller},
  title     = {Modeling and Simulating Federated Databases for early Validation of Federated Searches using the Broker-based SysML Toolbox},
  booktitle = {{IEEE} International Systems Conference (SysCon 2021), Vancouver, BC, Canada, April 15 - May 15, 2021},
  year      = {2021},
  pages     = {1--6},
  publisher = {IEEE},
  doi       = {https://doi.org/10.1109/SysCon48628.2021.9447055}
}

@inproceedings{sylvia_melzer_2021_9569,
  author    = {Sylvia Melzer and Simon Schiff and Ralf Möller},
  title     = {{Complementary Document Representations for Information Retrieval}}, 
  booktitle = {34th International FLAIRS Conference (FLAIRS-34), North Miami Beach, Florida, USA, May 17-19},
  year      = {2021},
  pages     = {},
  publisher = {},
  doi       = {https://doi.org/10.25592/uhhfdm.9569}
}

@inproceedings{MohMo,
	author = {Marisa Mohr, Ralf M{\"o}ller},
        title = {{Ordering Principle Components of Multivariate Fractional Brownian Motion for Solving Inverse Problems}},
	booktitle = {Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA-ASC)},
	year = {2021},
        publisher = {IEEE},
        doi = {https://ieeexplore.ieee.org/abstract/document/9689360}
}

@article{MohrMo21astesj,
author = {Marisa Mohr, Ralf Möller},
journal = {Advances in Science, Technology and Engineering Systems Journal},
title = {{A Summary of Canonical Multivariate Permutation Entropies on Multivariate Fractional Brownian Motion}},
volume = {6},
number = {5},
pages = {107--124},
year = {2021},
doi = {https://dx.doi.org/10.25046/aj060514}
}

@misc{KuhBr21,
    author = {Felix Kuhr and Tanya Braun},
    title = {Context-aware Document Annotation},
    booktitle={Humanities-Centred AI (CHAI), Workshop at 44th German Conference on Artificial Intelligence},
    year = {2021},
    type = {extended abstract},
    pubstate = {unpublished},
    location = {Berlin}
}

@inproceedings{Koppehel21CuART,
  author = {Martin Koppehel and Tobias Groth and Sven Groppe and Thilo Pionteck},
  title = {CuART - a CUDA-Based, Scalable Radix-Tree Lookup and Update Engine},
  year = {2021},
  publisher = {Association for Computing Machinery (ACM)},
  url = {https://doi.org/10.1145/3472456.3472511},
  booktitle = {50th International Conference on Parallel Processing (ICPP 2021)},
  location = {Lemont, IL, USA}
}

@article{OJIOT_2021v7i1n02e_VLIoT2021,
        title     = {Overview of the 2021 Edition of the Workshop on Very Large Internet of Things (VLIoT 2021)},
        author    = {Sven Groppe and Weizhi Meng},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2021},
        volume    = {7},
        number    = {1},
        pages     = {18--22},
        url       = {https://www.ronpub.com/ojiot/OJIOT_2021v7i1n02e_VLIoT2021.html},
        publisher = {RonPub}
}

@inproceedings{BraFiLaMo21,
  author = {Tanya Braun and Stefan Fischer and Florian Lau and Ralf M\"oller}, 
  title = {{Lifting DecPOMDPs for Nanoscale Systems --- A Work in Progress}}, 
  booktitle = {10th International Workshop on Statistical Relational AI at the 1st International Joint Conference on Learning and Reasoning}, 
  year = {2021},
  url = {https://arxiv.org/abs/2110.09152}
}

@inproceedings{MarBrMo21,
  author = {Florian Andreas Marwitz and Tanya Braun and Ralf M\"oller}, 
  title = {{A First Step Towards Even More Sparse Encodings of Probability Distributions}}, 
  booktitle = {ILP-21 Proceedings of the 30th International Conference on Inductive Logic Programming}, 
  year = {2021},
  doi = {https://doi.org/10.1007/978-3-030-97454-1_13}
}

@book{BraGeHaHe21, 
  author = {Tanya Braun and Marcel Gehrke and Tom Hanika and Nathalie Hernandez (Eds.)},
  title = {ICCS-21 Proceedings of the 26th International Conference on Conceptual Structures},
  year = {2021},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/978-3-030-86982-3}
}

@article{Hura2021AI,
  author={Gurdeep Singh Hura and Sven Groppe and Sarika Jain and Le Gruenwald},
  title={Artificial Intelligence in Global Epidemics, Part 1},
  journal={New Generation Computing},
  volume = {39},
  number = {3-4},
  year={2021},
  url={https://doi.org/10.1007/s00354-021-00138-y}
}

@inproceedings{Geh21,
  author = {Marcel Gehrke}, 
  title = {{On the Complexity and Completeness of the Lifted Dynamic Junction Tree Algorithm}}, 
  booktitle = {10th International Workshop on Statistical Relational AI at the 1st International Joint Conference on Learning and Reasoning}, 
  year = {2021},
  url = {https://arxiv.org/abs/2110.09197}
}

@article{Neelanarayanan2021BigDataA,
	title        = {Special issue on the technologies and applications of big data},
	author       = {V. Neelanarayanan and V. Vijayakumar and Ron Doyle and Imad Fakhri Taha Alyaseen and Sven Groppe},
	year         = 2021,
	journal      = {Wireless Networks},
	volume       = 27,
	number       = 8,
	pages        = {5425--5428},
	issn         = {1572-8196},
	url          = {https://doi.org/10.1007/s11276-021-02796-8}
}

@misc{sylvia_melzer_2021_9696,
  author       = {Sylvia Melzer and Oliver C. Eichmann and Hongxu Wang and Ralf God},
  title        = {Modeling and Simulation of Database Interactions},
  month        = {November},
  year         = {2021},
  publisher   = {GfSE},
  doi          = {10.25592/uhhfdm.9696}
}

@inbook{Möller2021,
author = {Ralf Möller},
title = {Humanities-Centred Artificial Intelligence (CHAI) as an Emerging Paradigm},
booktitle = {Exploring Written Artefacts: Objects, Methods, and Concepts},
editor = {Jörg B. Quenzer},
year = {2021},
volume = {25/1},
pages = {245--266},
publisher = {De Gruyter},
doi = {doi:10.1515/9783110753301-013}
}

@phdthesis{Geh21a,
  author = "Marcel Gehrke",
  title = "{Taming Exact Inference in Temporal Probabilistic Relational Models}",
  school = "University of L\"ubeck",
  year = "2021",
  note = "PhD thesis"
}

@InProceedings{schiff2021human,
  author    = {Simon Schiff and Ralf Möller},
  booktitle = {Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2021)},
  date      = {2021-09-28},
  title     = {On Human-Aware Information Seeking},
  language  = {en},
  pages     = {31--39},
  publisher = {CEUR Workshop Proceedings},
}

@Article{OJDB_2020v7i1n01_Poensgen,
       author    = {Peter Poensgen and Ralf M{\"o}ller},
        title     = {{Quasi-Convex Scoring Functions in Branch-and-Bound Ranked Search}},
        journal   = {Open Journal of Databases (OJDB)},
        issn      = {2199-3459},
        year      = {2020},
        volume    = {7},
        number    = {1},
        pages     = {1--11},
        url       = {https://www.ronpub.com/ojdb/OJDB_2020v7i1n01_Poensgen.html},
        publisher = {RonPub},
        abstract = {For answering top-k queries in which attributes are aggregated to a scalar value for defining a ranking, usually the well-known branch-and-bound principle can be used for efficient query answering. Standard algorithms (e.g., Branch-and-Bound Ranked Search, BRS for short) require scoring functions to be monotone, such that a top-k ranking can be computed in sublinear time in the average case. If monotonicity cannot be guaranteed, efficient query answering algorithms are not known. To make branch-and-bound effective with descending or ascending rankings (maximum top-k or minimum top-k queries, respectively), BRS must be able to identify bounds for exploring search partitions, and only for monotonic ranking functions this is trivial. In this paper, we investigate the class of quasi-convex functions used for scoring objects, and we examine how bounds for exploring data partitions can correctly and efficiently be computed for quasi-convex functions in BRS for maximum top-k queries. Given that quasi-convex scoring functions can usefully be employed for ranking objects in a variety of applications, the mathematical findings presented in this paper are indeed significant for practical top-k query answering.}
    }

@inproceedings{BraMo20,
  author = {Tanya Braun and Ralf M\"oller}, 
  title = {{Exploring Unknown Universes in Probabilistic Relational Models}}, 
  booktitle = {9th International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence}, 
  year = {2020},
  url = {https://arxiv.org/abs/2001.02021}
}

@article{KuhBeBrMo20c,
author={Felix Kuhr and Magnus Bender and Tanya Braun and Ralf M\"oller},
title={Augmenting and Automating Corpus Enrichment},
journal={Int. J. Semantic Computing},
volume={14},
number={2},
pages= {173--197},
year={2020},
doi = {https://dx.doi.org/10.1142/S1793351X20400061}
}

@INPROCEEDINGS{KuhBeBrMo20b,
author={Felix Kuhr and Magnus Bender and Tanya Braun and Ralf M\"oller},
title={{Maintaining Topic Models for Growing Corpora}},
booktitle={Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20)},
year={2020},
pages     = {451--458},
publisher = {IEEE},
doi={https://doi.org/10.1109/ICSC.2020.00017},
ISSN={},
keywords={Topic Models;Machine Learning;Text Mining}
}