Optimizing Research Progress Trajectories with Semantic Power Graphs
作者： G. S. Mahalakshmi , S. Sendhilkumar
DOI: 10.1007/978-3-642-45062-4_100
关键词: Semantics 、 Data science 、 Citation 、 Work (electrical) 、 Computer science 、 Co-citation 、 Theoretical computer science 、 Overhead (computing) 、 Power (physics) 、 Track (rail transport) 、 Trajectory
摘要: Any researcher who is taking up a new research work must explore the works done in past. For this we propose an idea to track possible progresses of particular article through semantic based approaches. In addition analyze co-citations and cross-citations among avoid leaving out any significant Finally attempt represent citation networks related meta-info using power graphs. This technique reduces overhead huge dimensions thereby providing optimized trajectory representations which leads finding progress trajectories.
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