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Dr. rer. nat. J.C. (Jan-Christoph) Kalo

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
  • Science Park 900
Postadres
  • Postbus 94323
    1090 GH Amsterdam
Contactgegevens
  • Publicaties

    2023

    • Kroll, H., Pirklbauer, J., Kalo, J. C., Kunz, M., Ruthmann, J., & Balke, W. T. (2023). A discovery system for narrative query graphs: entity-interaction-aware document retrieval. International Journal on Digital Libraries. Advance online publication. https://doi.org/10.1007/s00799-023-00356-3
    • Pan, J. Z., Razniewski, S., Kalo, J-C., Singhania, S., Chen, J., Dietze, S., Jabeen, H., Omeliyanenko, J., Zhang, W., & Lissandrini, M. (2023). Large Language Models and Knowledge Graphs: Opportunities and Challenges. Transactions on Graph Data and Knowledge, 1(1).
    • Veseli, B., Razniewski, S., Kalo, J.-C., & Weikum, G. (2023). Evaluating the Knowledge Base Completion Potential of GPT. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp. 6432-6443). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.426 [details]

    2022

    • Alivanistos, D., Báez Santamaría, S., Cochez, M., Kalo, J.-C., van Krieken, E., & Thanapalasingam, T. (2022). Prompting as Probing: Using Language Models for Knowledge Base Construction. In S. Singhania, T.-P. Nguyen, & S. Razniewski (Eds.), Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022: co-located with the 21st International Semantic Web Conference (ISWC2022) : virtual event, Hanghzou, China, October 2022 (pp. 11-34). (CEUR Workshop Proceedings; Vol. 3274). CEUR-WS. https://ceur-ws.org/Vol-3274/paper2.pdf [details]
    • Kalo, J-C., & Fichtel, L. (2022). KAMEL: Knowledge Analysis with Multitoken Entities in Language Models. In 4th Conference on Automated Knowledge Base Construction
    • Kalo, J-C., Kruit, B., & Schlobach, S. (2022). Understanding Distantly Supervised Relation Extraction through Semantic Error Analysis. In 4th Conference on Automated Knowledge Base Construction

    2021

    • Fichtel, L., Kalo, J-C., & Balke, W-T. (2021). Prompt tuning or fine-tuning-investigating relational knowledge in pre-trained language models. In 3rd Conference on Automated Knowledge Base Construction
    • Jain, N., Kalo, J. C., Balke, W. T., & Krestel, R. (2021). Do Embeddings Actually Capture Knowledge Graph Semantics? In R. Verborgh, K. Hose, H. Paulheim, P.-A. Champin, M. Maleshkova, O. Corcho, P. Ristoski, & M. Alam (Eds.), The Semantic Web - 18th International Conference, ESWC 2021, Proceedings (pp. 143-159). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12731 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-77385-4_9
    • Kroll, H., Pirklbauer, J., Kalo, J. C., Kunz, M., Ruthmann, J., & Balke, W. T. (2021). Narrative Query Graphs for Entity-Interaction-Aware Document Retrieval. In H.-R. Ke, C. S. Lee, & K. Sugiyama (Eds.), Towards Open and Trustworthy Digital Societies - 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Proceedings (pp. 80-95). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13133 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-91669-5_7

    2020

    • Kalo, J. C., Fichtel, L., Ehler, P., & Balke, W. T. (2020). KnowlyBERT - Hybrid Query Answering over Language Models and Knowledge Graphs. In J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, & L. Kagal (Eds.), The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, 2020, Proceedings (Vol. I, pp. 294-310). (Lecture Notes in Computer Science; Vol. 12506). Springer. https://doi.org/10.1007/978-3-030-62419-4_17
    • Kalo, J. C., Mennicke, S., Ehler, P., & Balke, W. T. (2020). Detecting Synonymous Properties by Shared Data-Driven Definitions. In A. Harth, S. Kirrane, A.-C. Ngonga Ngomo, H. Paulheim, A. Rula, A. L. Gentile, P. Haase, & M. Cochez (Eds.), The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020 : proceedings (pp. 360-375). (Lecture Notes in Computer Science; Vol. 12123). Springer. https://doi.org/10.1007/978-3-030-49461-2_21
    • Kroll, H., Kalo, J. C., Nagel, D., Mennicke, S., & Balke, W. T. (2020). Context-Compatible Information Fusion for Scientific Knowledge Graphs. In M. Hall, T. Mercun, T. Risse, & F. Duchateau (Eds.), Digital Libraries for Open Knowledge - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Proceedings (pp. 33-47). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12246 LNCS). Springer. https://doi.org/10.1007/978-3-030-54956-5_3

    2019

    • Kalo, J. C., Ehler, P., & Balke, W. T. (2019). Knowledge Graph Consolidation by Unifying Synonymous Relationships. In C. Ghidini, O. Hartig, M. Maleshkova, V. Svátek, I. Cruz, A. Hogan, J. Song, M. Lefrançois, & F. Gandon (Eds.), The Semantic Web – ISWC 2019 - 18th International Semantic Web Conference, Proceedings (Vol. !, pp. 276-292). (Lecture Notes in Computer Science; Vol. 11778). Springer. https://doi.org/10.1007/978-3-030-30793-6_16
    • Mennicke, S., Kalo, J. C., Nagel, D., Kroll, H., & Balke, W. T. (2019). Fast dual simulation processing of graph database queries. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 244-255). Article 8731588 (Proceedings - International Conference on Data Engineering; Vol. 2019-April). IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2019.00030

    2017

    • Kalo, J. C., Lofi, C., Maseli, R. P., & Balke, W. T. (2017). Semantic query processing: Estimating relational purity. In LWDA 2017 Lernen Wissen Daten Analysen 2017: Lernen, Wissen, Daten, Analysen (LWDA) (pp. 113-124). (CEUR Workshop Proceedings; Vol. 1917). CEUR-WS.
    • Mennicke, S., Kalo, J. C., & Balke, W. T. (2017). Querying graph databases: What do graph patterns mean? In O. Pastor, H. C. Mayr, G. Guizzardi, & H. Ma (Eds.), Conceptual Modeling - 36th International Conference, ER 2017, Proceedings (pp. 134-148). (Lecture Notes in Computer Science; Vol. 10650). Springer. https://doi.org/10.1007/978-3-319-69904-2_11
    • Mennicke, S., Nagel, D., Kalo, J. C., Aumann, N., & Balke, W. T. (2017). Reconstructing graph pattern matches using SPARQL. In Proceedings of the LWDA 2017 Workshops: KDML, FGWM, IR, and FGD (pp. 152-164). (CEUR Workshop Proceedings; Vol. 1917). CEUR-WS.

    2015

    • Kalo, J. C., Homoceanu, S., Rose, J., & Balke, W. T. (2015). Avoiding Chinese Whispers: Controlling end-to-end join quality in Linked Open Data stores. In Proceedings of the 2015 ACM Web Science Conference Association for Computing Machinery, Inc. https://doi.org/10.1145/2786451.2786466

    2014

    • Homoceanu, S., Kalo, J. C., & Balke, W. T. (2014). Putting instance matching to the test: Is instance matching ready for reliable data linking? In Foundations of Intelligent Systems - 21st International Symposium, ISMIS 2014, Proceedings (pp. 274-284). (Lecture Notes in Computer Science; Vol. 8502), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-319-08326-1_28

    2023

    • BigScience Workshop, Scao, T. L., Kalo, J.-C., Wal, O. V. D., Wang, B., & Liu, L. (2023). BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. ArXiv. https://doi.org/https://arxiv.org/abs/2211.05100
    • Buchner, V. L., Cao, L., Kalo, J-C., & Ehrenheim, V. V. (2023). Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation.
    • Kalo, J.-C., Singhania, S., Razniewski, S., & Pan, J. Z. (2023). LM-KBC 2023: 2nd Challenge on Knowledge Base Construction from Pre-trained Language Models. In S. Razniewski, J.-C. Kalo, S. Singhania, & J. Z. Pan (Eds.), Joint proceedings of the 1st workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM) and the 2nd challenge on Language Models for Knowledge Base Construction (LM-KBC): co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Athens, Greece, November 6, 2023 Article 0 (CEUR Workshop Proceedings; Vol. 3577). CEUR-WS. https://ceur-ws.org/Vol-3577/paper0.pdf [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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