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.
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Wang, Q., Noack, R. (2010). Intelligent Author Identification. In: Trujillo, J., et al. Advances in Conceptual Modeling – Applications and Challenges. ER 2010. Lecture Notes in Computer Science, vol 6413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16385-2_13
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DOI: https://doi.org/10.1007/978-3-642-16385-2_13
Publisher Name: Springer, Berlin, Heidelberg
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