通过挖掘社会网络增强名人本体

Soon Ae Chun, Tian Tian, J. Geller
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引用次数: 2

摘要

用户传递给搜索引擎的搜索词通常是不明确的,指的是同音异义词。在这些情况下,结果是包含不同搜索词含义的文档链接的混合。为了改进对同音异义词的搜索,我们之前为“名人”设计了一个本体支持的Web搜索系统(OSWS)。为了服务于这个系统,我们基于挖掘搜索引擎的建议补全和来自DBpedia的数据建立了一个名人本体。在本文中,我们提出了一种通过挖掘Facebook“人物公共页面”数据来改进OSWS本体的方法。Facebook属性被清理并映射到OSWS本体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing the famous people ontology by mining a social network
The search terms that a user passes to a search engine are often ambiguous, referring to homonyms. The results in these cases are a mixture of links to documents that contain different meanings of the search terms. To improve the search for homonyms, we previously designed an Ontology-Supported Web Search System (OSWS) for "famous people." To serve this system, we built an ontology of famous people based on mining the suggested completions of a search engine and on data from DBpedia. In this paper, we present an approach to improve the OSWS ontology by mining data from Facebook "people public pages." Facebook attributes are cleaned up and mapped to the OSWS ontology.
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