Intelligent author identification

Qing Wang*, René Noack

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Conceptual Modeling - Applications and Challenges, ER 2010 Workshops ACM-L, CMLSA, CMS, DE@ER, FP-UML, SeCoGIS, WISM, Proceedings
Pages96-106
Number of pages11
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event29th International Conference on Conceptual Modeling, ER 2010 - Vancouver, BC, Canada
Duration: 1 Nov 20104 Nov 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6413 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference29th International Conference on Conceptual Modeling, ER 2010
Country/TerritoryCanada
CityVancouver, BC
Period1/11/104/11/10

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