Using clustering strategies for creating authority files

Journal of the American Society for Information Science and Technology

Volumn 51, Issue 8, 2000, Pages 774-786

  French, James C ^a   Powell, Allison L ^a   Schulman, Eric ^b  

^a University of Virginia   (United States)

^b INSTITUTE FOR DEFENSE ANALYSES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ONLINE SEARCHING; PATTERN MATCHING;

AUTHORITY FILES; STRING MATCHING; WORD MATCHING;

DATABASE SYSTEMS;

EID: 0033704227     PISSN: 15322882     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-4571(2000)51:8<774::AID-ASI90>3.0.CO;2-P     Document Type: Article

References (26)

1. Abt, H.A. (1993). Institutional productivities. Publications of the Astronomical Society of the Pacific, 105, 794-798.
2. Accomazzi, A., Eichhorn, G., Kurtz, M.J., Grant, C.S., & Murray, S.S. (1997). Astronomical information discovery and access: Design and implementation of the ADS bibliographic services. In Astronomical Data Analysis Software and Systems VI, Vol. 125 of the Astronomical Society of the Pacific Conference Series (pp. 357-360).
3. Auld, L. (1982). Authority control: An eight-year review. Library Resources & Technical Services, 26, 319-330.
4. Borgman, C.L., & Siegfried, S.L. (1992). Getty's synoname and its cousins: A survey of applications of personal name-matching algorithms. Journal of the American Society for Information Science, 43, 459-476.
5. Damerau, F.J. (1964). A technique for computer detection and correction of spelling errors. Communications of the ACM, 7, 171-176.
6. French, J.C., Powell, A.L., & Schulman, E. (1997a). Applications of approximate word matching in information retrieval. In 6th International Conference on Information and Knowledge Management (CIKM'97) (pp. 9-15). Las Vegas, Nevada.
7. French, J.C., Powell, A.L., Schulman, E., & Pfaltz, J.L. (1997b). Automating the construction of authority files in digital libraries: A case study. In C. Peters & C. Thanos (Eds.). First European Conference on Research and Advanced Technology for Digital Libraries, Vol. 1324 of Lecture Notes in Computer Science (pp. 55-71). Pisa: Springer-Verlag.
8. Ganti, V., Ramakrishnan, R., Gehrke, J., Powell, A., & French, J. (1999). Clustering large datasets in arbitrary metric spaces. In 15th International Conference on Data Engineering (ICDE'99) (pp. 502-511). Sydney.
9. Gusfield, D. (1997). Algorithms on strings, trees, and sequences. Cambridge University Press.
10. Hall, P.A.V., & Dowling, G.R. (1980). Approximate string matching. Computing Surveys, 12, 381-402.
11. Jain, A.K., & Dubes, R.C. (1988). Algorithms for clustering data. Prentice Hall.
12. Kukich, K. (1992). Techniques for automatically correcting words in text. Computing Surveys, 24, 377-440.
13. Lowrance, R., & Wagner, R.A. (1975). An extension of the string-to-string correction problem. Journal of the ACM, 22, 177-183.
14. Morgan, H.L. (1970). Spelling correction in systems programs. Communications of the ACM, 13, 90-94.
15. O'Neill, E.T., & Vizine-Goetz, D. (1988). Quality control in online databases. Annual Review of Information Science and Technology, 23, 125-156.
16. Schulman, E., Powell, A.L., French, J.C., Eichhorn, G., Kurtz, M.J., & Murray, S.S. (1996). Using the ADS database to study trends in astronomical publication. Bulletin of the American Astronomical Society, 28, 1281.
17. Schulman, E., French, J.C., Powell, A.L., Eichhorn, G., Kurtz, M.J., & Murray, S.S. (1997a). Trends in astronomical publication between 1975 and 1996. Publications of the Astronomical Society of the Pacific, 109, 1278-1284.
18. Schulman, E., French, J.C., Powell, A.L., Murray, S.S., Eichhorn, G., & Kurtz, M.J. (1997b). The sociology of astronomical publication using ADS and ADAMS. In G. Hunt & H. Payne (Eds.). Astronomical data analysis software and systems VI, Vol. 125 of the Astronomical Society of the Pacific Conference Series (pp. 361-364).
19. Siegfried, S.L., & Bernstein, J. (1991). Synoname: The Getty's new approach to pattern matching for personal names. Computers and the Humanities, 25, 211-226.
20. Strong, D.M., Lee, Y.W., & Wang, R.Y. (1997). Data quality in context. Communications of the ACM, 40, 103-110.
21. Taylor, A.G. (1984). Authority files in online catalogs: An investigation of their value. Cataloging & Classification Quarterly, 4, 1-17.
22. Trimble, V. (1984). Postwar growth in the length of astronomical and other scientific papers. Publications of the Astronomical Society of the Pacific, 96, 1007-1016.
23. Wagner, R.A., & Fischer, M.J. (1974). The string-to-string correction problem. Journal of the ACM, 21, 168-173.
24. Williams, M.E., & Lannom, L. (1981). Lack of standardization of the journal title data element in databases. Journal of the American Society for Information Science, 32, 229-233.
25. Zhang, T., Ramakrishnan, R., & Livny, M. (1996). BIRCH: An efficient data clustering method for very large databases. In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data (pp. 103-114). Montreal.
26. Zobel, J., & Dart, P. (1996). Phonetic string matching: Lessons from information retrieval. In Proceedings of the 19th International Conference on Research and Development in Information Retrieval (SIGIR'96) (pp. 166-172).