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Towards SPARQL-Based Induction for Large-Scale RDF Data sets

S. Bin, L. Bühmann, J. Lehmann, и A. Ngonga Ngomo. ECAI 2016 - Proceedings of the 22nd European Conference on Artificial Intelligence, том 285 из Frontiers in Artificial Intelligence and Applications, стр. 1551--1552. IOS Press, (2016)
DOI: 10.3233/978-1-61499-672-9-1551

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Axel-Cyrille Ngonga Ngomo

Pierrot Ngomo

Emmanuel Charles Alain Ngomo

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Cyrille Debris

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topFiberM: Scalable and Efficient Boolean Matrix Factorization.A. Desouki, M. Röder, и A. Ngomo. CoRR, (2019)Dragon: Decision Tree Learning for Link Discovery.D. Obraczka, и A. Ngomo. ICWE, том 11496 из Lecture Notes in Computer Science, стр. 441-456. Springer, (2019)AGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked DataR. Usbeck, A. Ngonga Ngomo, M. Röder, D. Gerber, S. Coelho, S. Auer, и A. Both. The Semantic Web -- ISWC 2014, том 8796 из Lecture Notes in Computer Science, Springer International Publishing, (2014)Applying Grammar-based Compression to RDFM. Röder, P. Frerk, F. Conrads, и A. Ngomo. Eighteenth Extended Semantic Web Conference - Research Track, (2021)GENESIS -- A Generic RDF Data Access InterfaceT. Ermilov, D. Moussallem, R. Usbeck, и A. Ngonga Ngomo. WI '17 - IEEE/WIC/ACM International Conference on Web Intelligence, стр. 7. ACM, (2017)LOG4MEX: A Library to Export Machine Learning ExperimentsD. Esteves, D. Moussallem, T. Soru, C. Baron Neto, J. Lehmann, A. Ngonga Ngomo, и J. Duarte. WI '17 - IEEE/WIC/ACM International Conference on Web Intelligence, стр. 7. ACM, (2017)Benchmarking Linking and Versioning Systems for Big DataT. Saveta, I. Fundulaki, и A. Ngonga Ngomo. (2016)Poster.Resource2Vec - RDF Graph EmbeddingsT. Soru, E. Marx, D. Esteves, S. Ruberto, и A. Ngonga Ngomo. (апреля 2016)HOBBIT: A platform for benchmarking Big Linked Data.M. Röder, D. Kuchelev, и A. Ngomo. Data Sci., 3 (1): 15-35 (2020)EvoLearner: Learning Description Logics with Evolutionary Algorithms.S. Heindorf, L. Blübaum, N. Düsterhus, T. Werner, V. Golani, C. Demir, и A. Ngomo. CoRR, (2021)