Querying knowledge graphs through positive and negative examples and feedback
Author:
Funder
Foundation for Research and Technology-Hellas
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10844-024-00846-z.pdf
Reference34 articles.
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2. Arenas, M., Diaz, G.I., & Kostylev, E.V. (2016). Reverse engineering SPARQL queries. In: Proceedings of the 25th International Conference on World Wide Web. https://doi.org/10.1145/2872427.2882989
3. Čebirić, Š, Goasdoué, F., Kondylakis, H., Kotzinos, D., Manolescu, I., Troullinou, G., & Zneika, M. (2019). Summarizing semantic graphs: a survey. The VLDB Journal, 28, 295–327. https://doi.org/10.1007/s00778-018-0528-3
4. Chatzakis, M., Mountantonakis, M., & Tzitzikas, Y. (2021) RDFsim: similarity-based browsing over DBpedia using embeddings. Information, 12(11). https://doi.org/10.3390/info12110440
5. Colucci, S., Donini, F. M., Giannini, S., & Di Sciascio, E. (2016). Defining and computing least common subsumers in rdf. Journal of Web Semantics, 39,. https://doi.org/10.1016/j.websem.2016.02.001
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