Abstract
AbstractThis 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.KeywordsGround ModelIdentity RelationAbstract State MachineConceptual LayerIdentity LayerThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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