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PATRICIA—Practical Algorithm To Retrieve Information Coded in Alphanumeric
Open accessAbstract
PATRICIA is an algorithm which provides a flexible means of storing, indexing, and retrieving information in a large file, which is economical of index space and of reindexing time. It does not require rearrangement of text or index as new material is added. It requires a minimum restriction of format of text and of keys; it is extremely flexible in the variety of keys it will respond to. It retrieves information in response to keys furnished by the user with a quantity of computation which has a bound which depends linearly on the length of keys and the number of their proper occurrences and is otherwise independent of the size of the library. It has been implemented in several variations as FORTRAN programs for the CDC-3600, utilizing disk file storage of text. It has been applied to several large information-retrieval problems and will be applied to others.
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Cited by
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Navarro, G., & Mäkinen, V. (2007) · ACM Computing Surveys · doi:10.1145/1216370.1216372 · Cited by 735
LSH forest: self-tuning indexes for similarity search
Bawa, M., Condie, T., & Ganesan, P. (2005) · Proceedings of the 14th international conference on World Wide Web - WWW '05 · doi:10.1145/1060745.1060840 · Cited by 353
The string B-tree: a new data structure for string search in external memory and its applications
Ferragina, P., & Grossi, R. (1999) · Journal of the ACM · doi:10.1145/301970.301973 · Cited by 317
The Myriad Virtues of Subword Trees
Apostolico, A. (1985) · Combinatorial Algorithms on Words · doi:10.1007/978-3-642-82456-2_6 · Cited by 274
Metadata
- Authors
- Morrison, D. R.
- Venue
- Journal of the ACM
- Published
- 1968-10
- Volume
- 15
- Issue
- 4
- Pages
- 514-534
- ISSN
- 0004-5411 (ISSN-L)
- 1557-735X
- OpenAlex
- W2155512447
- Cited by
- 969
- References
- 0
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
