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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(9)
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics(7)
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scopus(16)
Summarizing 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:scopusSynthesizing a knowledge graph of data scientist job offers with MINTE+
Conference ObjectAbstract: Data Scientist is one of the most sought-after jobs of this decade. In order to analyze the job markPalabras claves:Data integration, Knowledge graphs, Rdf, RDF MoleculesAutores:Collarana D., Galkin M., María-Esther Vidal, Tasnim M.Fuentes:scopusSynthesizing knowledge graphs from web sources with the MINTE+ Framework
Conference ObjectAbstract: Institutions from different domains require the integration of data coming from heterogeneous Web soPalabras claves:Data integration, Knowledge graphs, Rdf, RDF MoleculesAutores:Auer S., Collarana D., Galkin M., Lange C., María-Esther Vidal, Scerri S.Fuentes:scopusCOMET: A Contextualized Molecule-Based Matching Technique
Conference ObjectAbstract: Context-specific description of entities –expressed in RDF– poses challenges during data-driven taskPalabras claves:Data integration, RDF entities, RDF knowledge graphsAutores:Collarana D., Galkin M., Graux D., María-Esther Vidal, Tasnim M.Fuentes:scopusContext-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:scopusAlligator: A deductive approach for the integration of industry 4.0 standards
Conference ObjectAbstract: Industry 4.0 standards, such as AutomationML, are used to specify properties of mechatronic elementsPalabras claves:AutomationML, Industry 4.0, semantic data integrationAutores:Auer S., Collarana D., Grangel-Gonzalez I., Halilaj L., Lange C., Lohmann S., María-Esther VidalFuentes: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: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: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:scopus