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Information Retrieval Based on Formal Concept Analysis

机译:基于形式概念分析的信息检索

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摘要

In information retrieval, in order to improve the recall and precision, similar concepts are often processed during the information retrieval. With this regard, the possibility of evaluating concept similarity is acquiring an increasing relevance, since it allows the identification of different concepts that are semantically close. For every concept consist of two parts which include objects and attributes, so the computing model also has two parts. First part deals with the objects similarity by using hierarchy structure of concept lattice. The second part deals with the attributes similarity by using the expert's knowledge. Beside this, the depth also has relevance with concepts similarity. So the result is altered with concepts' depth. Experiment shows using concept lattice could improve information retrieval's recall and precision.
机译:在信息检索中,为了提高召回率和准确性,经常在信息检索过程中处理类似的概念。就此而言,评估概念相似性的可能性正变得越来越重要,因为它允许识别语义上接近的不同概念。因为每个概念都包括对象和属性两个部分,所以计算模型也有两个部分。第一部分通过概念格的层次结构来处理对象的相似性。第二部分利用专家的知识处理属性相似性。除此之外,深度还与概念相似性相关。因此,结果随概念的深度而改变。实验表明,使用概念格可以提高信息检索的查全率和准确性。

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