Interactive Acquisition of User Knowledge for Document Retrieval

为文档检索开发的最成功的技术之一是相关性反馈。这种技术的有效性可以归因于这样一个事实，即它提供了一种简单的方法，用于交互地从用户那里获取从查询中无法获得的知识。在使用基于知识和自然语言处理技术的系统中，从用户交互获取领域和语言知识的能力变得至关重要。这是因为，在任何实际应用中，这种知识都是不完整的或完全缺失的。这项研究涉及明确设计的实验，以检验信息系统的用户可以交互地提供将提高检索效率的知识这一假设。实验将解决三种类型的知识的获取：(1)查询知识，如单词和短语的相对重要性，(2)领域知识，如与查询概念相关的概念，以及(3)允许系统理解复合名词的语言知识。用于获取这些知识的界面将使用在马萨诸塞大学建立的文件检索系统来构建。所获得的语言知识的结构将基于表征语言休息，这是马萨诸塞大学肾上腺项目的一部分。

One of the most successful techniques developed for document retrieval is relevance feedback. The effectiveness of this technique can be attributed to the fact that it provides a simple method for interactively acquiring knowledge from the user that is not available from the query. In systems that use knowledge-based and natural language processing techniques, the ability to interactively acquire domain and linguistic knowledge from users becomes crucial. This is because, in any real application, this knowledge will be incomplete or missing entirely. This research involves experiments explicitly designed to test the hypothesis hat users of an information systems can interactively provide knowledge that will improve retrieval effectiveness. The experiments will address the acquisition of three types of knowledge: (1) Query knowledge such as the relative importance of words and phrase, (2) Domain knowledge such as concepts that are related to the query concepts, and (3) Linguistic knowledge that allows the system to understand compound nouns. The interfaces that are used to acquire this knowledge will be constructed using the document retrieval system built at the University of Massachusetts. The structure of the linguistic knowledge that is acquired will be based on the representation language REST that is part of the ADRENAL project at the University of Massachusetts.