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首页> 外文会议>International Conference on Artificial Intelligence IC-AI'2000 Vol.3, Jun 26-29, 2000, Las Vegas, Nevada, USA >An Integrated Metric Approach to Flexible Query Answering for Information System
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An Integrated Metric Approach to Flexible Query Answering for Information System

机译：信息系统中灵活查询的综合度量方法

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摘要

An integrated metric-based strategy is presented for handling inadequate queries where qualifications may contain imprecise/vague term, nominal term, linguistic term and/or linguistic modifiers. Two unified models are proposed for handling composite qualifications which contain linguistic hedges (very) or (fairly) for query modification, and for studying the modification effect of(veiy) and (fairly) on simple qualifications. When the Euclidean metric is used as a measure of semantic proximity, the acceptance region of approximate answers obtained for the class of inadequate queries considered reduces to a simple search interval, without the need to compute item-target distances. This Euclidean solution can be implemented on-the-fly with no excessive metadata required. In query answering, users can have the flexibility to interpret various imprecise terms to suit their own information needs. They may repeatedly change the size of the tolerance number needed to search for relevant approximate answers for retrieval.
机译：提出了一种基于度量的集成策略，用于处理资格条件可能包含不精确/模糊术语，名义术语，语言术语和/或语言修饰语的查询不足。提出了两个统一的模型来处理包含语言对冲（非常）或（相当）以用于查询修改的复合资格，以及研究（veiy）和（相当）对简单资格的修改效果。当将欧几里得度量用作语义接近度的度量时，针对考虑的不充分查询类别获得的近似答案的接受区域减少到一个简单的搜索间隔，而无需计算项目目标距离。这种欧几里得解决方案可以即时实现，而无需过多的元数据。在查询回答中，用户可以灵活地解释各种不精确的术语以适应他们自己的信息需求。他们可能会反复更改搜索相关近似答案所需的公差数的大小。

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