An investigation of neural information retrieval based temporal embeddings and knowledge extraction for scientific insight generation

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An investigation of neural information retrieval based temporal embeddings and knowledge extraction for scientific insight generation

Humans today generate information at an unprecedented rate, leading to a vast accumulation of knowledge. This immense amount of data poses challenges in extracting both explicit information and implicit knowledge, predicting scientific events, and investigating scientific trends and trajectories. Fo...

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Bibliographic Details
Main Author:	Salama, Ayman
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2025
Subjects:	temporal knowledge evolution; knowledge representation; big data analytics; cloud-based framework; explicit and implicit knowledge
Online Access:	https://eprints.nottingham.ac.uk/78905/

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