Search engine driven author disambiguation

ABSTRACT

In scholarly digital libraries, author disambiguation is an important task that attributes a scholarly work with specific authors. This is critical when individuals share the same name. We present an approach to this task that analyzes the results of automatically-crafted web searches. A key observation is that pages from rare web sites are stronger source of evidence than pages from common web sites, which we model as Inverse Host Frequency (IHF). Our system is able to achieve an average accuracy of 0.836.

REFERENCES

• 1: C. Lee Giles , Kurt D. Bollacker , Steve Lawrence, CiteSeer: an automatic citation indexing system, Proceedings of the third ACM conference on Digital libraries, p.89-98, June 23-26, 1998, Pittsburgh, Pennsylvania, United States [doi>10.1145/276675.276685]
• 2: Hui Han , Hongyuan Zha , C. Lee Giles, Name disambiguation in author citations using a K-way spectral clustering method, Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, June 07-11, 2005, Denver, CO, USA [doi>10.1145/1065385.1065462]
• 3: Dongwon Lee , Byung-Won On , Jaewoo Kang , Sanghyun Park, Effective and scalable solutions for mixed and split citation problems in digital libraries, Proceedings of the 2nd international workshop on Information quality in information systems, June 17-17, 2005, Baltimore, Maryland [doi>10.1145/1077501.1077514]
• 4: Michael Ley, The DBLP Computer Science Bibliography: Evolution, Research Issues, Perspectives, Proceedings of the 9th International Symposium on String Processing and Information Retrieval, p.1-10, September 11-13, 2002

INDEX TERMS

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

General Terms:
Algorithms

Keywords:
IHF, author disambiguation, entity resolution