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Comparing Xml-ir Query Formation Interfaces

机译:比较Xml-ir查询形成接口

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摘要

XML information retrieval (XML-IR) systems differ from traditional information retrieval systems by using structure of XML documents to retrieve more specific units of information than the documents themselves. Users interact with XML-IR systems via structured queries that express their content and structural requirements. Historically, it has been common belief within the XML-IR community that structured queries will perform better than traditional keyword-only queries. However, recent system-orientated analysis has show that this assumption may be incorrect when system performance is averaged over a set of queries. Here, we test this assumption with users via a simulated work task experiment. We compare a keyword only interface with two user friendly XML-IR interfaces: NLPX, a natural language interface and Bricks, a query-by-template interface. This is the first time that a XML-IR natural language interface has been tested in user experiments. We compare the retrieval performance of all three interfaces and the usability of the two structured interfaces. Our results correspond to those of the system-orientated evaluation and indicate that structured queries do not aid retrieval performance. They also show that in terms of retrieval performance and usability the structured interfaces are comparable.
机译:XML信息检索(XML-IR)系统与传统的信息检索系统不同,它使用XML文档的结构来检索比文档本身更具体的信息单元。用户通过表达其内容和结构要求的结构化查询与XML-IR系统进行交互。从历史上看,XML-IR社区一直认为结构化查询的性能将优于传统的仅关键字查询。但是,最近的面向系统的分析表明,当对一组查询取平均系统性能时,此假设可能不正确。在这里,我们通过模拟工作任务实验与用户一起测试了这个假设。我们将仅关键字的接口与两个用户友好的XML-IR接口进行了比较:NLPX(一种自然语言接口)和Bricks(一个按模板查询的接口)。这是第一次在用户实验中测试XML-IR自然语言接口。我们比较了所有三个接口的检索性能和两个结构化接口的可用性。我们的结果与面向系统的评估相对应,并表明结构化查询无助于检索性能。他们还表明,就检索性能和可用性而言,结构化接口具有可比性。

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