Document Type
Presentation
Publication Date
2019
Abstract
❖ Real world events are dynamic in nature Periodic events e.g. US Presidential Election Non-periodic events e.g. Cyclone Idai
❖ Need for real-time predictive analysis, trend analysis, spatio-temporal decision making, public opinion analysis for events.
❖ Current state-of-the-art curates dynamic knowledge graph from structured text.
❖ We propose creating an Adaptive Knowledge Network from incoming real-time multimodal spatio-temporally evolving data.
Repository Citation
Padhee, S.,
Illendula, A.,
Sheth, A.,
Thirunarayan, K.,
& Shalin, V. L.
(2019). Adaptive Knowledge Networks: A Time Capsule. .
https://corescholar.libraries.wright.edu/knoesis/1162
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