Name
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.
|
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16385-2_13 | Object-Oriented and Entity-Relationship Modelling/International Conference on Conceptual Modeling / the Entity Relationship Approach |
Keywords | Field | DocType |
complete approach,intelligent author identification,view layer,conceptual layer,author identification problem,identity layer,open-world domain,fundamental problem,author identification,knowledge-based identification,different community,knowledge base | Identity function,Data mining,Computer science,Abstract state machines,Knowledge-based systems,Artificial intelligence,Completeness (statistics),Parameter identification problem | Conference |
Volume | ISSN | ISBN |
6413 | 0302-9743 | 3-642-16384-X |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qing Wang | 1 | 109 | 23.65 |
| René Noack | 2 | 17 | 4.32 |