Also by the same author: AKTiveAuthor, a citation graph approach to name disambiguation

ABSTRACT

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.

REFERENCES

• 1: Hui Han , Lee Giles , Hongyuan Zha , Cheng Li , Kostas Tsioutsiouliklis, Two supervised learning approaches for name disambiguation in author citations, Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries, June 07-11, 2004, Tuscon, AZ, USA [doi>10.1145/996350.996419]
• 2: Steve Lawrence , C. Lee Giles , Kurt Bollacker, Digital Libraries and Autonomous Citation Indexing, Computer, v.32 n.6, p.67-71, June 1999 [doi>10.1109/2.769447]
• 3: Xin Li , Paul Morie , Dan Roth, Semantic integration in text: from ambiguous names to identifiable entities, AI Magazine, v.26 n.1, p.45-58, March 2005
• 4: C. J. Van Rijsbergen, Information Retrieval, Butterworth-Heinemann, Newton, MA, 1979

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

General Terms:
Algorithms

Keywords:
metadata analysis, name disambiguation, self-citation