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My research addresses methods that enable machines to extract human knowledge from text, to represent such knowledge in a structured representation that is understandable and usable by machines. This covers areas of knowledge graphs, natural language processing, text mining, and social media analytics. My work features close collaboration with industry partners, to apply research output to real-world problem solving. For example, I worked with Archaeological Data Services from the University of York to create ArchSearch, an advanced search engine for archaeology grey literature backed by an archaoelogy knowledge graph. I worked with The Klood Ltd to create the first football rumour extraction engine based on Twitter, FootballWhispers.com. And I worked with Vamstar Ltd. to develop a knowledge graph of the healthcare sector supply chain, in order to improve public healthcare procurement. These projects are funded by a range of research councils and private bodies, such EPSRC, AHRC, and InnovateUK.
研究兴趣
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Ronnie Das,Wasim Ahmed,Kshitij Sharma, Mariann Hardey, Yogesh K. Dwivedi,Ziqi Zhang, Chrysostomos Apostolidis,Raffaele Filieri
European Journal of Operational Research (2024)
CoRR (2024)
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Ronnie Das, Wasim Ahmed,Kshitij Sharma,Mariann Hardey, Yogesh K. Dwivedi,Ziqi Zhang, Chrysostomos Apostolidis,Raffaele Filieri
European Journal of Operational Research (2024)
DESIGNING INTERACTIVE SYSTEMS CONFERENCE, DIS 2023 (2023): 753-764
JMIR Diabetes (2023)
arxiv(2023)
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