Researcher Portfolio
Schölkopf, Bernhard
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, Max Planck Institute for Biological Cybernetics, Max Planck Society
Researcher Profile
Position: Max Planck Institute for Biological Cybernetics, Max Planck Society
Position: Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society
Position: Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society
Position: Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society
Additional IDs: ORCID:
https://orcid.org/0000-0002-8177-0925
MPIKYB: bs
MPIKYB: bs
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons84193
External references
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Publications
(1 - 25 of 75)
: Razniewski, S., Arnaout, H., Ghosh, S., & Suchanek, F. (2024). Completeness, Recall, and Negation in Open-world Knowledge Bases: A Survey. ACM Computing Surveys, 56(6): 150, pp. 1-42. doi:10.1145/3639563. [PubMan] : Razniewski, S., Arnaout, H., Ghosh, S., & Suchanek, F. (2023). Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey. Retrieved from https://arxiv.org/abs/2305.05403. [PubMan] : Razniewski, S., Arnaout, H., Ghosh, S., & Suchanek, F. (2021). On the Limits of Machine Knowledge: Completeness, Recall and Negation in Web-scale Knowledge Bases. Proceedings of the VLDB Endowment, 14(12), 3175-3177. [PubMan] : Weikum, G., Dong, L., Razniewski, S., & Suchanek, F. (2021). Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. Foundations and Trends in Databases, 10(2-4), 108-490. doi:10.1561/1900000064. [PubMan] : Weikum, G., Dong, L., Razniewski, S., & Suchanek, F. (2020). Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. Retrieved from https://arxiv.org/abs/2009.11564. [PubMan] : Pellissier Tanon, T., Weikum, G., & Suchanek, F. (2020). YAGO 4: A Reason-able Knowledge Base. In A. Harth, S. Kirrane, A.-C. Ngonga Ngomo, H. Paulheim, A. Rula, A. L. Gentile, P. Haase, & M. Cochez (Eds. ), The Semantic Web (pp. 583 |-596). Berlin: Springer. doi:10.1007/978-3-030-49461-2_34. [PubMan] : Weikum, G., Hoffart, J., & Suchanek, F. (2019). Knowledge Harvesting: Achievements and Challenges. In B. Steffen, & G. Woeginger (Eds. ), Computing and Software Science (pp. 217-235). Berlin: Springer. doi:10.1007/978-3-319-91908-9_13. [PubMan] : Suchanek, F. M., Lajus, J., Boschin, A., & Weikum, G. (2019). Knowledge Representation and Rule Mining in Entity-Centric Knowledge Bases. In Reasoning Web -- Explainable Artificial Intelligence (pp. 110-152). Berlin: Springer. doi:10.1007/978-3-030-31423-1_4. [PubMan] : Rebele, T., Suchanek, F., Hoffart, J., Biega, J., Kuzey, E., & Weikum, G. (2016). YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames. In P. Groth, E. Simperl, A. Gray, M. Sabou, M. Krötzsch, F. Lecue, F. Flöck, & Y. Gil (Eds. ), The Semantic Web -- ISWC 2016 (pp. 177-185). Berlin: Springer. doi:10.1007/978-3-319-46547-0_19. [PubMan] : Weikum, G., Hoffart, J., & Suchanek, F. (2016). Ten Years of Knowledge Harvesting: Lessons and Challenges. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 39(3), 41-50. Retrieved from http://sites.computer.org/debull/A16sept/p41.pdf. [PubMan] : Talaika, A., Biega, J., Amarilli, A., & Suchanek, F. M. (2016). IBEX: Harvesting Entities from the Web Using Unique Identifiers. In J. Stoyanovich, & F. M. Suchanek (Eds. ), Proceedings of the 18th International Workshop on Web and Databases (pp. 13-19). New York, NY: ACM. doi:10.1145/2767109.2767116. [PubMan] : Abiteboul, S., Dong, L., Etzioni, O., Srivastava, D., Weikum, G., Stoyanovich, J., & Suchanek, F. M. (2015). The Elephant in the Room: Getting Value from Big Data. In J. Stoyanovich, & F. M. Suchanek (Eds. ), Proceedings of the 18th International Workshop on Web and Databases (pp. 1-5). New York, NY: ACM. doi:10.1145/2767109.2770014. [PubMan] : Galárraga, L., Teflioudi, C., Hose, K., & Suchanek, F. M. (2015). Fast Rule Mining in Ontological Knowledge Bases with AMIE+. The VLDB Journal, 24(6), 707-730. doi:10.1007/s00778-015-0394-1. [PubMan] : Hoffart, J., Preda, N., Suchanek, F. M., & Weikum, G. (2015). Knowledge Bases for Web Content Analytics. In WWW'15 Companion (pp. 1535-1535). New York, NY: ACM. doi:10.1145/2740908.2741984. [PubMan] : Mahdisoltani, F., Biega, J., & Suchanek, F. (2014). YAGO3: A Knowledge Base from Multilingual Wikipedias. In 7th Biennial Conference on Innovative Data Systems Research. CIDR Conference. Retrieved from http://www.cidrdb.org/cidr2015/Papers/CIDR15_Paper1.pdf. [PubMan] : Suchanek, F. M., & Weikum, G. (2014). Knowledge Bases in the Age of Big Data Analytics. Proceedings of the VLDB Endowment, 7(13), 1713-1714. [PubMan] : Tandon, N., de Melo, G., Suchanek, F. M., & Weikum, G. (2014). WebChild: Harvesting and Organizing Commonsense Knowledge from the Web. In WSDM'14 (pp. 523-532). New York, NY: ACM. doi:10.1145/2556195.2556245. [PubMan] : Huet, T., Biega, J., & Suchanek, F. (2013). Mining History with Le Monde. In F. Suchanek, S. Riedel, S. Singh, & P. P. Talukdar (Eds. ), AKBC'13 (pp. 49-54). New York, NY: ACM. doi:10.1145/2509558.2509567. [PubMan] : Galárraga, L., Teflioudi, C., Hose, K., & Suchanek, F. M. (2013). AMIE: Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases. In D. Schwabe, V. Almeida, H. Glaser, R. Baeza-Yates, & S. Moon (Eds. ), WWW’13 (pp. 413-422). New York, NY: ACM. [PubMan] : Suchanek, F. M., Hoffart, J., Kuzey, E., & Lewis-Kelham, E. (2013). YAGO2s: Modular High-quality Information Extraction with an Application to Flight Planning. In V. Markl (Ed. ), Datenbanksysteme für Business, Technologie und Web (pp. 515-518). Bonn: GI. [PubMan] : Hoffart, J., Suchanek, F. M., Berberich, K., & Weikum, G. (2013). YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract. In 23rd International Joint Conference on Artificial Intelligence (pp. 3161-3165). Palo Alto, CA: AAAI. [PubMan] : Suchanek, F. M., & Weikum, G. (2013). Knowledge Harvesting from Text and Web Sources. In 29th IEEE International Conference on Data Engineering (pp. 1250-1253). Piscataway, NJ: IEEE. doi:10.1109/ICDE.2013.6544916. [PubMan] : Nakashole, N., Weikum, G., & Suchanek, F. M. (2013). Discovering Semantic Relations From the Web and Organizing Them with PATTY. ACM SIGMOD Record, 42(2), 29-34. doi:10.1145/2503792.2503799. [PubMan] : Nayak, R., Senellart, P., Suchanek, F. M., & Varde, A. S. (2013). Discovering Interesting Information with Advances in Web Technology. SIGKDD Explorations Newsletter, 14(2), 63-81. doi:10.1145/2481244.2481255. [PubMan] : Biega, J., Kuzey, E., & Suchanek, F. M. (2013). Inside YAGO2s: A Transparent Information Extraction Architecture. In D. Schwabe, V. Almeida, H. Glaser, R. Baeza-Yates, & S. Moon (Eds. ), WWW'13 (pp. 325-328). New York, NY: ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2487788.2487935. [PubMan]