Updating collection representations for federated search
Updating collection representations for federated search
复制标题
DOI：
10.1145/1277741.1277829
复制
发表时间：
2007-07
期刊：
影响因子：
--
通讯作者：
Milad Shokouhi;M. Baillie;L. Azzopardi
中科院分区：
文献类型：
--
作者：
Milad Shokouhi;M. Baillie;L. Azzopardi
为了便于在一组在线分布式集合中搜索相关信息，联合信息检索系统通常通过一组词汇表或采样文档集中表示每个集合。因此，准确检索与每个表示反映存储在该集合中的底层内容的精确度有关。随着集合随着时间的推移而发展，集合表示形式也应该更新以反映任何更改，然而，尚未提出当前的解决方案。在这项研究中，我们研究了过时的表示集对检索准确性的影响，并提出了三种不同的策略来管理必要的更新。每项政策都是在为期八周的44个动态收集的试验台上进行评估的。我们的发现表明，过时的表示会显著降低加班时间的性能，然而，采用适当的更新策略可以最大限度地减少这一问题。
To facilitate the search for relevant information across a setof online distributed collections, a federated information retrieval system typically represents each collection, centrally, by a set of vocabularies or sampled documents. Accurate retrieval is therefore related to how precise each representation reflects the underlying content stored in that collection. As collections evolve over time, collection representations should also be updated to reflect any change, however, a current solution has not yet been proposed. In this study we examine both the implications of out-of-date representation sets on retrieval accuracy, as well as proposing three different policies for managing necessary updates. Each policyis evaluated on a testbed of forty-four dynamic collections over an eight-week period. Our findings show that out-of-date representations significantly degrade performance overtime, however, adopting a suitable update policy can minimise this problem.