Automatic and dynamic book category assignment using concept-based book ontology

Abstract

We propose concept-based book ontology for automatic and dynamic category assignment to books through collaborative filtering. It is general for authors or book systems to assign one or more categories to books, but determining book categories based on book reviews have long been neglected. Popularization of online reviews has generated abundant reviews, and it is valuable to additively consider these reviews for assigning relevant book categories. The proposed concept-based book ontology is constructed by conceptual categories that are extracted from the existing book category hierarchy using semantic relationships. Moreover, category-specific review words are constructed through collaborative filtering with the semantically related review words. We built an automatic and dynamic book category assignment prototype system using the concept-based book ontology with the Amazon book department data and confirmed the effectiveness of our approach through empirical evaluations. © Springer International Publishing 2014.