Intelligent author identification

  • Authors:
  • Qing Wang;René Noack

  • Affiliations:
  • University of Otago, Dunedin, New Zealand;Christian-Albrechts-University Kiel, Germany

  • Venue:
  • ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
  • Year:
  • 2010

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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.