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Aiming for Efficiency by Detecting Structural Similarity

机译:通过检测结构相似性来达到效率

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摘要

When applying XML-Retrieval in a distributed setting, efficiency issues have to be considered, e.g. reducing the network traffic involved in answering a given query. The new Efficiency Track of INEX gave us the opportunity to explore the possibility of improving both effectiveness and efficiency by exploiting structural similarity. We ran some of the track's highly structured queries on our top-k search engine to analyze the impact of various structural similarity functions. We applied those functions first to the ranking and based on that to the query routing process. Our results indicate that detection of structural similarity can be used in order to reduce the amount of messages sent between distributed nodes and thus lead to more efficiency of the search.
机译:在分布式环境中应用XML检索时,必须考虑效率问题,例如减少回答给定查询所涉及的网络流量。 INEX的新效率追踪使我们有机会探索通过利用结构相似性来提高有效性和效率的可能性。我们在top-k搜索引擎上运行了某些跟踪的高度结构化查询,以分析各种结构相似性功能的影响。我们首先将这些功能应用于排名,然后将其应用于查询路由过程。我们的结果表明,可以使用结构相似性检测来减少分布式节点之间发送的消息量,从而提高搜索效率。

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