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The effectiveness of GIOSS for the text database discovery problem
Abstract
The popularity of on-line document databases has led to a new problem: finding which text databases (out of many candidate choices) are the most relevant to a user. Identifying the relevant databases for a given query is the text database discovery problem. The first part of this paper presents a practical solution based on estimating the result size of a query and a database. The method is termed GlOSS—Glossary of Servers Server. The second part of this paper evaluates the effectiveness of GlOSS based on a trace of real user queries. In addition, we analyze the storage cost of our approach.
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Cited by
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
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
Query-based sampling of text databases
Callan, J., & Connell, M. (2001) · ACM Transactions on Information Systems · doi:10.1145/382979.383040 · Cited by 368
PlanetP: using gossiping to build content addressable peer-to-peer information sharing communities
Cuenca-Acuna, F. M., Peery, C., Martin, R. P., & Nguyen, T. D. (2004) · High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on · doi:10.1109/hpdc.2003.1210033 · Cited by 300
The conceptual basis for mediation services
Wiederhold, G., & Genesereth, M. (1997) · IEEE Expert · doi:10.1109/64.621227 · Cited by 289
Metadata
- Authors
- Gravano, L., García-Molina, H., & Tomasic, A.
- Venue
- Proceedings of the 1994 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 1994-05-24
- Pages
- 126-137
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2073788020
- Cited by
- 175
- References
- 0
- FWCI
- 12.31
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The effectiveness of GIOSS for the text database discovery problem. https://app.cochat.ai/papers/10.1145/191839.191869
- The paper
- Gravano, L., García-Molina, H., & Tomasic, A. (1994). The effectiveness of GIOSS for the text database discovery problem. Proceedings of the 1994 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/191839.191869
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
