Mostrando 10 resultados de: 11
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings(1)
41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018(1)
International Journal of Semantic Computing(1)
Journal of Web Semantics(1)
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Web Semántica(5)
Base de datos(3)
Inteligencia artificial(2)
Big data(1)
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scopus(11)
BOUNCER: Privacy-Aware Query Processing over Federations of RDF Datasets
Conference ObjectAbstract: Data provides the basis for emerging scientific and interdisciplinary data-centric applications withPalabras claves:Autores:Almhithawi Z., Auer S., Endris K.M., Lytra I., María-Esther VidalFuentes:scopusA big data architecture for managing oceans of data and maritime applications
Conference ObjectAbstract: Data in the maritime domain is growing at an unprecedented rate, e.g., terabytes of oceanographic daPalabras claves:BIG DATA, Big Data Applications, Maritime Applications, Oceanographic DataAutores:Attard J., Lytra I., María-Esther Vidal, Orlandi F.Fuentes:scopusDESERT: A Continuous SPARQL Query Engine for On-Demand Query Answering
ArticleAbstract: The Internet of Things (IoT) has been rapidly adopted in many domains ranging from household applianPalabras claves:continuous SPARQL query, internet of things, semantic enrichment, stream dataAutores:Auer S., Karim F., Lytra I., Mader C., María-Esther VidalFuentes:scopusCapturing knowledge in semantically-typed relational patterns to enhance relation linking
Conference ObjectAbstract: Transforming natural language questions into formal queries is an integral task in Question AnswerinPalabras claves:Knowledge Capture, Knowledge graphs, Question Answering Systems, relation linkingAutores:Auer S., Jaradeh M.Y., Lange C., Lytra I., María-Esther Vidal, Mulang’ I.O., Sakor A., Singh K.Fuentes:scopusDynamic composition of question answering pipelines with Frankenstein
Conference ObjectAbstract: Question answering (QA) systems provide user-friendly interfaces for retrieving answers from structuPalabras claves:QA framework, Question answering, semantic search, semantic web, Software ReusabilityAutores:Lytra I., María-Esther Vidal, Radhakrishna A.S., Singh K., Vyas A.Fuentes:scopusNo one is perfect: Analysing the performance of question answering components over the DBpedia knowledge graph
ArticleAbstract: Question answering (QA) over knowledge graphs has gained significant momentum over the past five yeaPalabras claves:entity linking, Experiment and analysis, Knowledge Graph, Question answering, Relation extraction, relation linkingAutores:Lehmann J., Lytra I., María-Esther Vidal, Radhakrishna A.S., Shekarpour S., Singh K.Fuentes:scopusMULDER: Querying the linked data web by bridging RDF molecule templates
Conference ObjectAbstract: The increasing number of RDF data sources that allow for querying Linked Data via Web services formPalabras claves:Autores:Auer S., Endris K.M., Galkin M., Lytra I., Mami M.N., María-Esther VidalFuentes:scopusSemantic Enrichment of IoT Stream Data On-demand
Conference ObjectAbstract: Connecting the physical world to the Internet of Things (IoT) allows for the development of a wide vPalabras claves:Data factorization, internet of things, Query execution, Semantification, stream dataAutores:Al Naameh O., Auer S., Karim F., Lytra I., Mader C., María-Esther VidalFuentes:scopusWhy reinvent the wheel: Let's build question answering systems together
Conference ObjectAbstract: Modern question answering (QA) systems need to flexibly integrate a number of components specialisedPalabras claves:QA framework, Question answering, semantic search, semantic web, Software ReusabilityAutores:Auer S., Both A., Khikmatullaev A., Lange C., Lehmann J., Lytra I., María-Esther Vidal, Punjani D., Radhakrishna A.S., Shekarpour S., Singh K., Usbeck R., Vyas A.Fuentes:scopusQAestro – Semantic-based composition of question answering pipelines
Conference ObjectAbstract: The demand for interfaces that allow users to interact with computers in an intuitive, effective, anPalabras claves:Autores:Auer S., Lange C., Lytra I., María-Esther Vidal, Punjani D., Singh K., Thakkar H.Fuentes:scopus