Nghiên cứu sinh (Trợ giảng, Sorbonne Université)
Nhóm nghiên cứu : BD
Ngày đến : 01-03-2018 Địa chỉ : Campus Pierre et Marie CurieSorbonne Université - LIP6 Boîte courrier 169 Couloir 25-26, Étage 5, Bureau 502 4 place Jussieu 75252 PARIS CEDEX 05 FRANCE Tel: +33 1 44 27 87 56, Ke.Li (at) nulllip6.fr
Ban lãnh đạo nghiên cứu : Bernd AMANN Đồng hướng dẫn : NAACKE Hubert
Topic Extraction and Alignment for Large Scientific Document Collections
A topic evolution map represents the evolution of science by a set of topics over a sequence of time periods were topics from different periods can be aligned through specific evolution links. The goal of this thesis is to develop a scalable workflow based on efficient algorithms and data structures implemented on top of big data infrasructures for exploring large scientific document collections, such as Web of science and building interactive maps for representing the evolution of science.