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Unveiling relations in the industry 4.0 standards landscape based on knowledge graph embeddings

A. Rivas, I. Grangel-González, D. Collarana, J. Lehmann, and M. Vidal. (2020)

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Squerall: Virtual ontology-based access to heterogeneous and large data sourcesM. Mami, D. Graux, S. Scerri, H. Jabeen, S. Auer, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2019)BioKEEN: a library for learning and evaluating biological knowledge graph embeddingsM. Ali, C. Hoyt, D. Domingo-Fernández, J. Lehmann, and H. Jabeen. Bioinformatics, 35 (18): 3538--3540 (September 2019)DistLODStats: Distributed Computation of RDF Dataset StatisticsG. Sejdiu, I. Ermilov, J. Lehmann, and M. Mami. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2018)PNEL: Pointer network based end-to-end entity linking over knowledge graphsD. Banerjee, D. Chaudhuri, M. Dubey, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2020)Affinity Dependent Negative Sampling for Knowledge Graph EmbeddingsM. Alam, H. Jabeen, M. Ali, K. Mohiuddin, and J. Lehmann. DL4KG@ESWC, (2020)VQuAnDa: Verbalization QUestion ANswering DAtasetE. Kacupaj, H. Zafar, J. Lehmann, and M. Maleshkova. The Semantic Web, Springer International Publishing, Cham, (2020)MINDS: A translator to embed mathematical expressions inside SPARQL queriesD. Graux, G. Sejdiu, C. Stadler, G. Napolitano, and J. Lehmann. Semantic Systems. In the Era of Knowledge Graphs, Springer International Publishing, Cham, (2020)CASQAD -- A new dataset for context-aware spatial question answeringJ. Rose, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2020)SimpleLSTM: A deep-learning approach to simple-claims classificationP. Chawla, D. Esteves, K. Pujar, and J. Lehmann. Progress in Artificial Intelligence, Springer International Publishing, Cham, (2019)Distantly supervised question parsingH. Zafar, M. Tavakol, and J. Lehmann. (2019)

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Unveiling relations in the industry 4.0 standards landscape based on knowledge graph embeddings

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unveiling relations in the industry 4.0 standards landscape based on knowledge graph embeddings

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Unveiling relations in the industry 4.0 standards landscape based on knowledge graph embeddings