一种使用维基百科分类标签标记查询的有效方法,以增强搜索引擎结果

M. Alemzadeh, F. Karray
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引用次数: 9

摘要

本文旨在提出一种简单、广泛、抗噪的方法,用于有效地标记提交给搜索引擎的web查询,并使用适当的类别标签。这些标签旨在表示与查询相关的最接近的类别,最终可以通过将结果限制为匹配类别或丰富查询本身来增强任何典型搜索引擎的结果。该方法有效地排除查询中的噪声词,利用密度函数形成最优关键字包,并使用维基百科类别层次结构返回一组代表给定查询的共同主题的类别标签。
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An Efficient Method for Tagging a Query with Category Labels Using Wikipedia towards Enhancing Search Engine Results
This paper intends to present a straightforward, extensive, and noise resistant method for efficiently tagging a web query, submitted to a search engine, with proper category labels. These labels are intended to represent the closest categories related to the query which can ultimately be used to enhance the results of any typical search engine by either restricting the results to matching categories or enriching the query itself. The presented method effectively rules out noise words within a query, forms the optimal keyword packs using a density function, and returns a set of category labels which represent the common topics of the given query using Wikipedia category hierarchy.
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