信息检索中的人工智能

Thomas Mandl
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引用次数: 10

摘要

本文描述了将人工智能技术应用于信息检索(IR)的最突出的方法。信息检索是知识管理的一项关键技术。它涉及信息的搜索以及知识的表示、存储和组织。信息检索是一种搜索过程,用户需要在大量的知识中识别出与他的信息需求相关的信息子集。信息寻求者制定一个查询,试图描述他的信息需求。将查询与在索引阶段提取的文档表示进行比较。文档和查询的表示通常由相似度函数(如余弦函数)匹配。最相似的文件被呈现给用户,他们可以评估与他们的问题的相关性(Belkin, 2000)。正确表示文档和匹配不精确表示的问题很快导致了人工智能中开发的技术应用于信息检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence for Information Retrieval
This article describes the most prominent approaches to apply artificial intelligence technologies to information retrieval (IR). Information retrieval is a key technology for knowledge management. It deals with the search for information and the representation, storage and organization of knowledge. Information retrieval is concerned with search processes in which a user needs to identify a subset of information which is relevant for his information need within a large amount of knowledge. The information seeker formulates a query trying to describe his information need. The query is compared to document representations which were extracted during an indexing phase. The representations of documents and queries are typically matched by a similarity function such as the Cosine. The most similar documents are presented to the users who can evaluate the relevance with respect to their problem (Belkin, 2000). The problem to properly represent documents and to match imprecise representations has soon led to the application of techniques developed within Artificial Intelligence to information retrieval.
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