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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
Journal of Web Semantics(2)
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Proceedings - IEEE Symposium on Computer-Based Medical Systems(1)
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A knowledge-driven pipeline for transforming big data into actionable knowledge
Conference ObjectAbstract: Big biomedical data has grown exponentially during the last decades, as well as the applications thaPalabras claves:Autores:Endris K.M., Jozashoori S., María-Esther Vidal, Palma G.Fuentes:scopusFunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation
Conference ObjectAbstract: Data has exponentially grown in the last years, and knowledge graphs constitute powerful formalismsPalabras claves:Functions, knowledge graph creation, mapping rulesAutores:Chaves-Fraga D., Corcho O., Iglesias E., Jozashoori S., María-Esther VidalFuentes:scopusEABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
Conference ObjectAbstract: Despite encoding enormous amount of rich and valuable data, existing data sources are mostly createdPalabras claves:entity alignment, functional mappings, knowledge graph creation, mapping rules, semantic data integrationAutores:Iglesias E., Jozashoori S., María-Esther Vidal, Sakor A.Fuentes:scopusMapSDI: A scaled-up semantic data integration framework for knowledge graph creation
Conference ObjectAbstract: Semantic web technologies have significantly contributed with effective solutions for the problems oPalabras claves:Data integration system, knowledge graph creation, semantic data integration, Transformation rulesAutores:Jozashoori S., María-Esther VidalFuentes:scopusKnowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities
ArticleAbstract: In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integraPalabras claves:covid-19, Drug–drug interactions, Knowledge graphsAutores:Aisopos F., Bougiatiotis K., Iglesias E., Jozashoori S., Krithara A., María-Esther Vidal, Niazmand E., Padiya T., Paliouras G., Rivas A., Rohde P.D., Sakor A.Fuentes:scopusScaling up knowledge graph creation to large and heterogeneous data sources
ArticleAbstract: RDF knowledge graphs (KG) are powerful data structures to represent factual statements created fromPalabras claves:Data Integration Systems, knowledge graph creation, Query execution planning, RDF Mapping LanguagesAutores:Iglesias E., Jozashoori S., María-Esther VidalFuentes:scopusSemantic data integration of big biomedical data for supporting personalised medicine
Book PartAbstract: Big biomedical data has grown exponentially during the last decades and a similar growth rate is expPalabras claves:Autores:Endris K.M., Jozashoori S., Karim F., María-Esther Vidal, Palma G.Fuentes:scopusSemantic data integration techniques for transforming big biomedical data into actionable knowledge
Conference ObjectAbstract: FAIR principles and the Open Data initiatives have motivated the publication of large volumes of datPalabras claves:BIG DATA, Biomedical Data, Knowledge Graph, Natural Language processing, semantic data integrationAutores:Jozashoori S., María-Esther VidalFuentes:scopusSDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
Conference ObjectAbstract: In recent years, the amount of data has increased exponentially, and knowledge graphs have gained atPalabras claves:Knowledge Graph, Rdf, rmlAutores:Chaves-Fraga D., Collarana D., Iglesias E., Jozashoori S., María-Esther VidalFuentes:scopusPoster paper data integration for supporting biomedical knowledge graph creation at large-scale
Conference ObjectAbstract: In recent years, following FAIR and open data principles, the number of available big data includingPalabras claves:Autores:Jozashoori S., María-Esther Vidal, Novikova T.Fuentes:scopus