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NATURAL LANGUAGE ACCESS TO REGIONAL INFORMATION SOURCES: THE PORT OF ROTTERDAM CASE

机译:自然语言访问区域信息来源:鹿特丹案例港口

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Natural Language Interface (NLI ) for search queries is regarded as one of the key technologies to support meaningful information retrieval. The combination with statistical Bayesian matching algorithms should create the ideal tool for an international economic region like the Rotterdam Port Area. In this paper we describe the tests performed to support or counter this notion using market leader Autonomy It was known that the combination did work for knowledge workers at Heineken, Organon and Philips. The tests were carried out in an environment with 11000 Small and Medium Enterprises (SMEs). A regional environment with thousands of websites provides an unusual challenge for a technology normally used for Intranets. The public visitor is not so easy to instruct, Human factors analyses in combination with technical research shows a positive outcome for the Bayesian algorithm but counterproductive results with Natural Language Interfacing. In consequence other Interface support mechanisms need to be developed to combine the power of matching a certain information source somewhere in the region with the low quantity of data in the user query articulation. The solution chosen to tackle this problem was to encourage visitors of the portal to use an email look-a-like query window.
机译:搜索查询的自然语言界面(NLI)被视为支持有意义信息检索的关键技术之一。与统计贝叶斯匹配算法的组合应为鹿特丹港区等国际经济区创建理想的工具。在本文中,我们描述了使用市场领导者自主的支持或抵制这一概念的测试据称,该组合为Heineken,Conston和飞利浦的知识工作者工作。该测试是在11000名中小企业(中小企业)的环境中进行的。具有数千个网站的区域环境为通常用于内联网的技术提供了不寻常的挑战。公共访客不容易指导,人类因素与技术研究相结合分析显示贝叶斯算法的积极结果,而是具有自然语言界面的适得其反的结果。因此,需要开发其他接口支持机制以将匹配区域中的某个信息源的功率与用户查询铰接中的低量数据组合在区域中的某处匹配。选择解决此问题的解决方案是鼓励门户网站访问者使用电子邮件看起来的查询窗口。

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