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Extracting entity-specific substructures for RDF graph embeddings., , and . Semantic Web, 10 (6): 1087-1108 (2019)Efficient customer selection for sustainable demand response in smart grids., , , , and . IGCC, page 1-6. IEEE Computer Society, (2014)Extracting Entity-Specific Substructures for RDF Graph Embedding., and . IRI, page 378-385. IEEE, (2018)Automatic Integration and Querying of Semantic Rich Heterogeneous Data: Laying the Foundations for Semantic Web of Things., , and . Managing the Web of Things, Morgan Kaufmann, (2017)Thou Shalt ASQFor and Shalt Receive the Semantic Answer., , and . IJCAI, page 4264-4265. IJCAI/AAAI Press, (2016)ASQFor: Automatic SPARQL query formulation for the non-expert., , and . AI Commun., 31 (1): 19-32 (2018)Curtailment Estimation Methods for Demand Response: Lessons Learned by Comparing Apples to Oranges., , , and . e-Energy, page 217-218. ACM, (2015)Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding., , and . CoRR, (2018)Estimating Reduced Consumption for Dynamic Demand Response., , , , and . AAAI Workshop: Computational Sustainability, volume WS-15-06 of AAAI Technical Report, AAAI Press, (2015)Enabling Automated Dynamic Demand Response: From Theory to Practice., , , , , , , and . e-Energy, page 229-230. ACM, (2015)