Entwining structure into web search

DBRank '13 Pub Date : 2013-08-30 DOI:10.1145/2524828.2524830
Stelios Paparizos
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引用次数: 2

Abstract

Keyword based retrieval has dominated web search with its simplicity and effectiveness. However, given the abundance of structured and semi-structured data, there is an opportunity for an improved user experience. In this paper, we present an overview of our past work on analyzing keyword queries and extracting latent structured semantics, mapping them to corresponding data sources and enriching the user experience with the inclusion of structured content.
网络搜索的缠绕结构
基于关键字的检索以其简单、高效的特点在网络搜索领域占据主导地位。然而,考虑到丰富的结构化和半结构化数据,有机会改进用户体验。在本文中,我们概述了我们过去在分析关键字查询和提取潜在结构化语义,将它们映射到相应的数据源以及通过包含结构化内容丰富用户体验方面的工作。
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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