使用BM25F进行语义搜索

SEMSEARCH '10 Pub Date : 2010-04-26 DOI:10.1145/1863879.1863881

José R. Pérez-Agüera, Javier Arroyo, J. Greenberg, Joaquín Pérez-Iglesias, Víctor Fresno-Fernández

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引用次数: 80

摘要

近年来，语义网络搜索引擎的信息检索(IR)方法变得非常流行。不同IR库(如Lucene)的普及，使得IR实现几乎是开箱即用的，这使得语义Web搜索引擎中的IR集成变得更加容易。然而，语义Web文档最重要的特性之一是结构，因为这种结构允许我们以机器可读的格式表示语义。本文分析了结构化信息检索的具体问题，以及如何采用加权模式进行语义文档检索。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using BM25F for semantic search

Information Retrieval (IR) approaches for semantic web search engines have become very populars in the last years. Popularization of different IR libraries, like Lucene, that allows IR implementations almost out-of-the-box have make easier IR integration in Semantic Web search engines. However, one of the most important features of Semantic Web documents is the structure, since this structure allow us to represent semantic in a machine readable format. In this paper we analyze the specific problems of structured IR and how to adapt weighting schemas for semantic document retrieval.

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来源期刊

SEMSEARCH '10

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