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pro vyhledávání: '"Emelyanov, Yury"'
With the growing number and size of Linked Data datasets, it is crucial to make the data accessible and useful for users without knowledge of formal query languages. Two approaches towards this goal are knowledge graph visualization and natural langu
Externí odkaz:
http://arxiv.org/abs/1907.08501
Autor:
Wohlgenannt, Gerhard, Klimov, Nikolay, Mouromtsev, Dmitry, Razdyakonov, Daniil, Pavlov, Dmitry, Emelyanov, Yury
One of the big challenges in Linked Data consumption is to create visual and natural language interfaces to the data usable for non-technical users. Ontodia provides support for diagrammatic data exploration, showcased in this publication in combinat
Externí odkaz:
http://arxiv.org/abs/1903.01275
Autor:
Wohlgenannt, Gerhard, Klimov, Nikolay, Mouromtsev, Dmitry, Razdyakonov, Daniil, Pavlov, Dmitry, Emelyanov, Yury
In this publication we present simple but effective search in linked data (properties) using natural language.The main contributions are the system prototype which is integrated into Ontodia, and an extensive evaluationagainst a gold standard to demo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bc14eb270066dc25f993ac23eace2ab
Autor:
Mouromtsev, Dmitry, Pavlov, Dmitry, Emelyanov, Yury, Morozov, Alexey, Razdyakonov, Daniil, Parkhimovich, Olga
Publikováno v:
Semantic Web: ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29 - June 2, 2016, Revised Selected Papers; 2016, p178-182, 5p
Publikováno v:
Informatics in Schools. Curricula, Competences & Competitions; 2015, p542-550, 9p