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Adaptive query-based sampling of distributed collections

Baillie, M. and Azzopardi, L. and Crestani, F. (2006) Adaptive query-based sampling of distributed collections. In: 13th Symposium on String Processing and Information Retrieval (SPIRE 2006), 2006-10-11 - 2006-10-13, Glasgow, UK.

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As part of a Distributed Information Retrieval system a de-scription of each remote information resource, archive or repository is usually stored centrally in order to facilitate resource selection. The ac-quisition ofprecise resourcedescriptionsistherefore animportantphase in Distributed Information Retrieval, as the quality of such represen-tations will impact on selection accuracy, and ultimately retrieval per-formance. While Query-Based Sampling is currently used for content discovery of uncooperative resources, the application of this technique is dependent upon heuristic guidelines to determine when a sufficiently accurate representation of each remote resource has been obtained. In this paper we address this shortcoming by using the Predictive Likelihood to provide both an indication of thequality of an acquired resource description estimate, and when a sufficiently good representation of a resource hasbeen obtained during Query-Based Sampling.

Item type: Conference or Workshop Item (Paper)
ID code: 2281
Keywords: distributed information retrieval, query-based sampling, searching, Electronic computers. Computer science
Subjects: Science > Mathematics > Electronic computers. Computer science
Department: Faculty of Science > Computer and Information Sciences
Depositing user: Strathprints Administrator
Date Deposited: 10 Nov 2006
Last modified: 23 Jul 2015 13:01

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