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Proceedings of the 3rd Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD) Workshop in conjuction with the Extended Semantic Web Conference (ESWC) 2014.

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Fourier-Based Parametrization of Convolutional Neural Networks for Robust Time Series Forecasting., and . DS, volume 11828 of Lecture Notes in Computer Science, page 522-532. Springer, (2019)Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction - two sides of the same coin?, , and . Semantic Web, 13 (3): 399-422 (2022)Ontologiebasierte Applikationsintegration auf Nutzerschnittstellenebene. Ausgezeichnete Informatikdissertationen 2011, volume D-12 of LNI, page 133-142. (2012)Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting., and . SGAI Conf., volume 10630 of Lecture Notes in Computer Science, page 34-46. Springer, (2017)One Knowledge Graph to Rule Them All? Analyzing the Differences Between DBpedia, YAGO, Wikidata & co., and . KI, volume 10505 of Lecture Notes in Computer Science, page 366-372. Springer, (2017)A Robust Number Parser Based on Conditional Random Fields.. KI, volume 10505 of Lecture Notes in Computer Science, page 337-343. Springer, (2017)Seamless integration of heterogeneous UI components., and . EICS, page 303-308. ACM, (2010)More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings., and . CIKM (Workshops), volume 2699 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs., and . CIKM, page 3533-3537. ACM, (2021)The CaLiGraph Ontology as a Challenge for OWL Reasoners., and . SemREC@ISWC, volume 3123 of CEUR Workshop Proceedings, page 21-31. CEUR-WS.org, (2021)