Capturing scholar’s knowledge from heterogeneous resources for profiling in recommender systems
作者：
Highlights：
• We examine appropriate knowledge resources for profiling scholars’ background knowledge.
• We discuss how knowledge items can be unobtrusively captured from knowledge resources.
• We represent how heterogeneity among different knowledge resources is resolved.
• We model scholars’ academic knowledge by collecting knowledge items from mediated profiles in digital libraries.
• We unify the scholars’ knowledge items by Wikipedia.
摘要
•We examine appropriate knowledge resources for profiling scholars’ background knowledge.•We discuss how knowledge items can be unobtrusively captured from knowledge resources.•We represent how heterogeneity among different knowledge resources is resolved.•We model scholars’ academic knowledge by collecting knowledge items from mediated profiles in digital libraries.•We unify the scholars’ knowledge items by Wikipedia.
论文关键词：Knowledge acquisition,Scholar profiling,Recommender system,Mediated profile
论文评审过程：Available online 7 July 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.06.039
