An unsupervised heuristic-based hierarchical method for name disambiguation in bibliographic citations

Journal of the American Society for Information Science and Technology

Volumn 61, Issue 9, 2010, Pages 1853-1870

  Cota, Ricardo G ^a   Ferreira, Anderson A ^a   Nascimento, Cristiano ^a   Gonçalves, Marcos André ^a   Laender, Alberto H F ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

BIBLIOGRAPHIC CITATIONS; HIERARCHICAL CLUSTERING METHODS; HIERARCHICAL METHOD; NAME DISAMBIGUATION; NUMBER OF CLUSTERS; REAL-WORLD; RESEARCH COMMUNITIES; SIMILARITY MEASURE; UNSUPERVISED METHOD;

DIGITAL LIBRARIES;

HEURISTIC METHODS;

EID: 77956384868     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21363     Document Type: Article

References (45)

1. Baeza-Yates, R. A., & Ribeiro-Neto, B. (1999). Modern information retrieval. Boston, MA: Addison-Wesley Longman Publishing Co., Inc.
2. Bekkerman, R., & McCallum, A. (2005). Disambiguating web appearances of people in a social network. In Proceedings of the 14th International Conference on World Wide Web (pp. 463-470). New York: ACM Press.
3. Bhattacharya, I., & Getoor, L. (2006, April). A latent Dirichlet model for unsupervised entity resolution. Paper presented at the Sixth SIAM International Conference on Data Mining, Bethesda, MD. Retrieved April 20, 2010, from http://www.ibhattacharya.net/DOCS/sdm06.pdf
4. Bhattacharya, I., & Getoor, L. (2007). Collective entity resolution in relational data. ACM Transactions on Knowledge Discovery from Data, 1(1), 5.
5. Bordes, A., Ertekin, S., Weston, J., & Bottou, L. (2005). Fast kernel classifiers with online and active learning. Journal of Machine Learning Research, 6, 1579-1619.
6. Chang, C.-C., & Lin, C.-J. (2001). LibSVM: A library for support vector machines. Software available at http://www.csie.ntu.edu.tw/'cjlin/libsvm
7. Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273-297.
8. Cota, R. G., Goncalves, M. A., & Laender, A. H. F. (2007). A heuristic-based hierarchical clustering method for author name disambiguation in digital libraries. In Proceedings of the 22nd Brazilian Symposium on Databases (pp. 20-34). New York: ACM Press.
9. Culotta, A., Kanani, P., Hall, R., Wick, M., & McCallum, A. (2007, July). Author disambiguation using error-driven machine learning with a ranking loss function. Paper presented at the Sixth International Workshop on Information Integration on the Web, Vancouver, Canada. Retrieved April 20, 2010, from http://www.cs.umass.edu/'culotta/pubs/culotta07author.pdf
10. Dhillon, I. S., Guan, Y., & Kulis, B. (2005). A fast kernel-based multilevel algorithm for graph clustering. In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 629-634). New York: ACM Press.
11. Ester, M., Kriegel, H.-P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the Second Interntional Conference on Knowledge Discovery and Data Mining (pp. 226-231). Menlo Park, CA: AAAI Press.
12. Galvez, C., & de Moya Anegon, F. (2007). Approximate personal namematching through finite-state graphs. Journal of the American Society for Information Science and Technology, 58(13), 1960-1976.
13. Geisser, S. (1993). Predictive inference: An introduction. New York: Chapman & Hall.
14. Goncalves, M. A., Fox, E. A., Watson, L. T., & Kipp, N. A. (2004). Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries. ACM Transaction Information System, 22(2), 270-312.
15. Han, H., Giles, C. L., Zha, H., Li, C., & Tsioutsiouliklis, K. (2004). Two supervised learning approaches for name disambiguation in author citations. In Proceedings of the Fourth ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 296-305). New York: ACM Press.
16. Han, H., Xu, W., Zha, H., & Giles, C. L. (2005). A hierarchical naive Bayes mixture model for name disambiguation in author citations. In Proceedings of the 2005 ACM Symposium on Applied Computing (pp. 1065-1069). New York: ACM Press.
17. Han, H., Zha, H., & Giles, C. L. (2005). Name disambiguation in author citations using a k-way spectral clustering method. In Proceedings of the Fifth ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 334-343). New York: ACM Press.
18. Huang, J., Ertekin, S., & Giles, C. L. (2006). Efficient name disambiguation for large-scale databases. In Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases. Lecture Notes in Artificial Intelligence, 4213, 536-544.
19. Kanani, P., McCallum, A., & Pal, C. (2007). Improving author coreference by resource-bounded information gathering from the web. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (pp. 429-434). Menlo Park, CA: AAAI Press.
20. Kang, I.-S., Na, S.-H., Lee, S., Jung, H., Kim, P., Sung, W.-K., & Lee, J.-H. (2009). On co-authorship for author disambiguation. Information Processing & Management, 45(1), 84-97.
21. Lagoze, C., & de Sompel, H. V. (2001). The open archives initiative: Building a low-barrier interoperability framework. In Proceedings of the First ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 54-62). New York: ACM Press.
22. Lapidot, I. (2002). Self-organizing-maps with BIC for speaker clustering (Tech. Rep.). Martigny, Switzerland: IDIAP Research Institute.
23. Lee, D., Kang, J., Mitra, P., Giles, C. L., & On, B.-W. (2007). Are your citations clean? Communications of the ACM, 50(12), 33-38.
24. Lee, D., On, B.-W., Kang, J., & Park, S. (2005). Effective and scalable solutions for mixed and split citation problems in digital libraries. In Proceedings of the Second International Workshop on Information Quality in Information Systems (pp. 69-76). New York: ACM Press.
25. Ley, M. (2002). The DBLP computer science bibliography: Evolution, research issues, perspectives. In Proceedings of the Ninth International Symposium on String Processing and Information Retrieval. Lecture Notes in Computer Science, 2476, 1-10.
26. Liming, L., & Lihua, L. (2005). Scientific publication activities of 32 countries. Scientometrics, 26(2), 263-273.
27. Malin, B. (2005). Unsupervised name disambiguation via social network similarity. In Proceedings of the Workshop on Link Analysis, Counterterrorism, and Security, at the 2005 SIAM International Conference on Data Mining (pp. 93-102). Philadelphia: SIAM.
28. Mitchell, T. M. (1997). Machine Learning. New York: McGraw-Hill.
29. Oliveira, J. W. A., Laender, A. H. F., & Goncalves, M. A. (2005). Remocao de Ambiguidades na Identificacao de Autoria de Objetos Bibliograficos [A strategy for removing ambiguity in the identification of the authorship of digital objects]. In Proceedings of the 20th Brazilian Symposium on Databases (pp. 205-219). Porto Alegre, Brazil: Sociedade Brasileira de Computação.
30. On, B.-W., Elmacioglu, E., Lee, D., Kang, J., & Pei, J. (2006). An effective approach to entity resolution problem using quasi-clique and its application to digital libraries. In Proceedings of the Sixth ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 51-52). New York: ACM Press.
31. On, B.-W., & Lee, D. (2007). Scalable name disambiguation using multilevel graph partition. In Proceedings of the Seventh SIAM International Conference on Data Mining (pp. 575-580). Philadelphia: SIAM.
32. On, B.-W., Lee, D., Kang, J., & Mitra, P. (2005). Comparative study of name disambiguation problem using a scalable blocking-based framework. In Proceedings of the Fifth ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 344-353). New York: ACM Press.
33. Pereira, D. A., Ribeiro-Neto, B. A., Ziviani, N., Laender, A. H. F., Gonçalves, M. A., & Ferreira, A. A. (2009). Using Web information for author name disambiguation. In Proceedings of the 2009 ACM/IEEE-CS Joint International Conference on Digital Libraries (pp. 49-58). New York: ACM Press.
34. Porter, M. F. (1980). An algorithm for suffix stripping. Program, 14(3), 130-137.
35. Rijsbergen, C. J. V. (1979). Information retrieval (2nd ed.). London: Butterworths.
36. Salton, G. M., Wong, A., & Yang, C. S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18(11), 613-620.
37. Smalheiser, N. R., & Torvik, V. I. (2009). Author name disambiguationAnnual Review of Information Science and Technology (vol. 43, pp. 287-313). Medford, NJ: Information Today.
38. Soler, J. M. (2007). Separating the articles of authors with the same name. Scientometrics, 72(2), 281-290.
39. Song, Y., Huang, J., Councill, I. G., Li, J., & Giles, C. L. (2007). Efficient topic-based unsupervised name disambiguation. In Proceedings of the Seventh ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 342-351). New York: ACM Press.
40. Torvik, V. I., & Smalheiser, N. R. (2009). Author name disambiguation in medline. ACM Transactions on Knowledge Discovery from Data, 3(3), 1-29.
41. Torvik, V. I., Weeber, M., Swanson, D. R., & Smalheiser, N. R. (2005). Aprobabilistic similarity metric for Medline records: A model for author name disambiguation. Journal of the American Society for Information Science and Technology, 56(2), 140-158.
42. Treeratpituk, P., & Giles, C. L. (2009). Disambiguating authors in academic publications using random forests. In Proceedings of the Ninth ACM/IEEE-CS Joint International Conference on Digital Libraries (pp. 39-48). New York: ACM Press.
43. Vu, Q. M., Masada, T., Takasu, A., & Adachi, J. (2007). Using a knowledge base to disambiguate personal name in Web search results. In Proceedings of the 2007 ACM Symposium on Applied Computing (pp. 839-843). New York: ACM Press.
44. Yang, K.-H., Peng, H.-T., Jiang, J.-Y., Lee, H.-M., & Ho, J.-M. (2008). Author name disambiguation for citations using topic and Web correlation. In Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries. Lecture Notes in Computer Science, 5173, 185-196.
45. Zha, H., He, X., Ding, C. H. Q., Gu, M., & Simon, H. D. (2001). Spectral relaxation for K-means clustering. In Neural Information Processing Systems (pp. 1057-1064). Cambridge, MA: MIT Press.