The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Query-based sampling of text databases
Abstract
The proliferation of searchable text databases on corporate networks and the Internet causes a database selection problem for many people. Algorithms such as gGLOSS and CORI can automatically select which text databases to search for a given information need, but only if given a set of resource descriptions that accurately represent the contents of each database. The existing techniques for a acquiring resource descriptions have significant limitations when used in wide-area networks controlled by many parties. This paper presents query-based sampling , a new technicque for acquiring accurate resource descriptions. Query-based sampling does not require the cooperation of resource providers, nor does it require that resource providers use a particular search engine or representation technique. An extensive set of experimental results demonstrates that accurate resource descriptions are crated, that computation and communication costs are reasonable, and that the resource descriptions do in fact enable accurate automatic dtabase selection.
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Cites
The Automatic Creation of Literature Abstracts
Luhn, H. P. (1958) · IBM Journal of Research and Development · doi:10.1147/rd.22.0159 · Cited by 3,246
Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology
Chao, Y. R., & Zipf, G. K. (1950) · Language · doi:10.2307/409735 · Cited by 2,193
Freenet: A Distributed Anonymous Information Storage and Retrieval System
Clarke, I., Sandberg, O., Wiley, B., & Hong, T. W. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44702-4_4 · Cited by 2,109
Crimins, F. (2003) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-003-0001-6 · Cited by 2,000
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Hollingshead, A. B., & Zipf, G. K. (1949) · American Sociological Review · doi:10.2307/2086695 · Cited by 1,355
Searching Distributed Collections With Inference Networks
Callan, J. P., Lu, Z., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130363 · Cited by 608
Self-citationInformation retrieval, computational and theoretical aspects
Heaps, H. S. (1978) · CERN Document Server (European Organization for Nuclear Research) · Cited by 598
Evaluation of an inference network-based retrieval model
Turtle, H. R., & Croft, W. B. (1991) · ACM Transactions on Information Systems · doi:10.1145/125187.125188 · Cited by 581
Moroney, M. (1952) · Medical Entomology and Zoology · Cited by 439
Inference Networks for Document Retrieval
Turtle, H. R., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130361 · Cited by 423
Cited by
Mining query logs: turning search usage data into knowledge
Silvestri, F. (2009) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000013 · Cited by 194
Building simulated queries for known-item topics: an analysis using six european languages
Azzopardi, L., de Rijke, M., & Balog, K. (2007) · Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1277741.1277820 · Cited by 135
Metadata
- Authors
- Callan, J., & Connell, M.
- Venue
- ACM Transactions on Information Systems
- Published
- 2001-04
- Volume
- 19
- Issue
- 2
- Pages
- 97-130
- ISSN
- 1046-8188 (ISSN-L)
- 1558-2868
- OpenAlex
- W1986828474
- Cited by
- 368
- References
- 27
- FWCI
- 64.03
- Type
- journal article
- Language
- en
- Open access
- closed
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