A Multi-strategy Approach for Catalog Integration

When we have a large amount of information, we usually use categories with a hierarchy, in which all information is assigned. This paper proposes a new method of integrating two catalogs with hierarchical categories. The proposed method uses not only the contents of information but also the structures of both hierarchical categories. We conducted experiments using two actual Internet directories, and the results show improved performance compared with the previous approach. In this paper, we introduce a novel approach for catalog integration problem. The problem addressed in this paper is finding an appropriate category Ct in the target catalog TC for each information instance Isi in the source catalog SC. What we need to do is determine an appropriate category in TC for an information instance. In order to solve the problem, we proposed the Similaritybased integration (SBI) [3]. SBI has a higher performance compared with the Naive Bayes (NB) approach, even with the extension proposed...

• Type: Conference
• Year: 2004
• Where: PRICAI
• Authors: Ryutaro Ichise, Masahiro Hamasaki, Hideaki Takeda
• Keywords: Appropriate Category, Artificial Intelligence, Contents-based Classification Method, Hierarchical Categories, PRICAI 2004