Intelligent author identification

Abstract

This paper addresses a fundamental problem existing in the development of digitalising scientific contribution for individuals - the author identification problem. Instead of proposing an accurate and complete approach to identify authors in an open-world domain, which seems to be hardly found, we aim to develop the knowledge-based identification for authors by establishing an identity layer between a conceptual layer and a view layer. With the evolving knowledge acquired from different communities, a visual model built upon the conceptual and identity layers is adaptive such that the degree of accuracy and completeness on author identification can be improved over time. © 2010 Springer-Verlag.