Wiser: A semantic approach for expert finding in academia based on entity linking
作者：
Highlights：
• Wiser, a new semantic search engine for expert finding in academia is proposed.
• A novel modeling for academic expertise through a small, labeled and weighted graph.
• A new set of scoring and ranking strategies for expert retrieval.
• Improvements of the state-of-the-art systems over a large-scale experimental test.
• Public available system deployed over the Research community of our University.
摘要
•Wiser, a new semantic search engine for expert finding in academia is proposed.•A novel modeling for academic expertise through a small, labeled and weighted graph.•A new set of scoring and ranking strategies for expert retrieval.•Improvements of the state-of-the-art systems over a large-scale experimental test.•Public available system deployed over the Research community of our University.
论文关键词：Expert finding,Expert profiling,Expertise retrieval,Entity linking,Information retrieval,Wikipedia
论文评审过程：Received 10 May 2018, Revised 30 July 2018, Accepted 18 December 2018, Available online 9 January 2019, Version of Record 11 January 2019.
论文官网地址：https://doi.org/10.1016/j.is.2018.12.003
