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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(7)
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Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017(1)
The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019(1)
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scopus(12)
Context-based entity matching for big data
Book PartAbstract: In the Big Data era, where variety is the most dominant dimension, the RDF data model enables the crPalabras claves:Autores:Collarana D., Graux D., María-Esther Vidal, Tasnim M.Fuentes:scopusFuhSen: A federated hybrid search engine for building a knowledge graph on-demand
Conference ObjectAbstract: A vast amount of information about various types of entities is spread across the Web, e.g., peoplePalabras claves:Integration on demand, Knowledge Graph, Rdf, RDF-MoleculeAutores:Auer S., Collarana D., Galkin M., Grangel-Gonzalez I., Lange C., María-Esther VidalFuentes:scopusMINTE: Semantically integrating RDF graphs
Conference ObjectAbstract: The nature of the RDF data model allows for numerous descriptions of the same entity. For example, dPalabras claves:Equivalent rdf molecules, Fusion policy, RDF graph, semantic data integrationAutores:Auer S., Collarana D., Galkin M., Lange C., María-Esther Vidal, Traverso-Ribon I.Fuentes:scopusMateTee: A semantic similarity metric based on translation embeddings for knowledge graphs
Conference ObjectAbstract: Large Knowledge Graphs (KGs), e.g., DBpedia or Wikidata, are created with the goal of providing struPalabras claves:Autores:Auer S., Collarana D., María-Esther Vidal, Morales C.Fuentes:scopusInteraction Network Analysis Using Semantic Similarity Based on Translation Embeddings
Conference ObjectAbstract: Biomedical knowledge graphs such as STITCH, SIDER, and Drugbank provide the basis for the discoveryPalabras claves:Embeddings, Knowledge graphs, Similarity functionAutores:Collarana D., Manzoor Bajwa A., María-Esther VidalFuentes:scopusUnveiling relations in the industry 4.0 standards landscape based on knowledge graph embeddings
Conference ObjectAbstract: Industry 4.0 (I4.0) standards and standardization frameworks have been proposed with the goal of empPalabras claves:Autores:Collarana D., Grangel-Gonzalez I., Lehmann J., María-Esther Vidal, Rivas A.Fuentes:scopusSemantic Data Integration for Knowledge Graph Construction at Query Time
Conference ObjectAbstract: The evolution of the Web of documents into a Web of services and data has resulted in an increased aPalabras claves:Data integration, Knowledge Graph, RDF Molecule, Similarity measureAutores:Auer S., Collarana D., Galkin M., Lange C., María-Esther Vidal, Traverso-Ribon I.Fuentes:scopusSJoin: A semantic join operator to integrate heterogeneous RDF graphs
Conference ObjectAbstract: Semi-structured data models like the Resource Description Framework (RDF), naturally allow for modelPalabras claves:Autores:Auer S., Collarana D., Galkin M., María-Esther Vidal, Traverso-Ribon I.Fuentes:scopusSMJoin: A multi-way join operator for SPARQL queries
Conference ObjectAbstract: Join operators are particularly important in SPARQL query engines that collect RDF data using Web acPalabras claves:Join algorithms, Multi-way Join Operators, SPARQLAutores:Acosta M., Auer S., Collarana D., Endris K.M., Galkin M., María-Esther VidalFuentes:scopusSummarizing entity temporal evolution in knowledge graphs
Conference ObjectAbstract: Knowledge graphs are dynamic in nature, new facts about an entity are added or removed over time. ThPalabras claves:Entity Evolution, RDF Knowledge Graph, RDF MoleculesAutores:Collarana D., Graux D., María-Esther Vidal, Orlandi F., Tasnim M.Fuentes:scopus