Information extraction and ontology model for a 'call for paper' manager
Laurent Issertial, Hiroshi Tsuji · 2011
Deal with Call for Paper (CFP) is a time consuming task, find if a conference suit to your requirement, check deadlines, specifications, etc... In order to improve this matter, this paper proposes a web-based system to automatically extract useful data from CFP emails using six different text mining methods and organizes them in an ontology model which advises user about interesting conferences according to his personal data. Focusing on both extraction method and ontology model, we will also slightly describe future work and improvement in a large-scale.