Information Retrieval
Two supervised learning approaches for name disambiguation in author citations
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Semantic integration in text: from ambiguous names to identifiable entities
AI Magazine - Special issue on semantic integration
Author Name Disambiguation for Citations Using Topic and Web Correlation
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
On co-authorship for author disambiguation
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
Construction of a large-scale test set for author disambiguation
Information Processing and Management: an International Journal
Resolving author name homonymy to improve resolution of structures in co-author networks
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Disambiguating authors in citations on the web and authorship correlations
Expert Systems with Applications: An International Journal
Citation-based bootstrapping for large-scale author disambiguation
Journal of the American Society for Information Science and Technology
Entity disambiguation using semantic networks
Journal of the American Society for Information Science and Technology
Name disambiguation in scientific cooperation network by exploiting user feedback
Artificial Intelligence Review
Hi-index | 0.00 |
The desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particular, name disambiguation is required to allow accurate publication lists, citation counts and impact measures to be determined. This paper describes a graph-based approach to author disambiguation on large-scale citation networks. Using self-citation, co-authorship and document source analyses, AKTiveAuthor clusters papers, achieving precision of 0.997 and recall of 0.818 over a test group of eight surname clusters.