谷歌知道谁是著名的今天-从搜索引擎知识和DBpedia建立一个本体

Christopher Ochs, Tian Tian, J. Geller, Soon Ae Chun
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引用次数: 14

摘要

现代搜索引擎为用户提供建议的查询补全。这些搜索建议通常在本质上是模棱两可的,可以指任意数量的同音异义词。以前,我们使用从维基百科中的数据构建的静态本体来解决这个问题。在这里,我们提出了一种基于挖掘响应部分用户搜索查询而产生的搜索引擎的建议补全来动态构建“名人”本体的方法。这与来自DBpedia的数据相结合。我们使用这个本体在以前本体支持的Web搜索系统的动态版本中提供消除歧义的搜索建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Google Knows Who is Famous Today -- Building an Ontology from Search Engine Knowledge and DBpedia
Modern search engines provide users with suggested query completions. These search suggestions are often ambiguous in nature and could refer to any number of homonyms. Previously we used a static ontology built from data in Wikipedia to address this issue. Here, we present a method for dynamically building an ontology of "famous people" based on mining the suggested completions of a search engine that are produced in response to partial user search queries. This is combined with data from DBpedia. We use this ontology to provide disambiguated search suggestions within a dynamic version of our previous Ontology-Supported Web Search system.
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