Knowledge Exploration using Tables on the Web
Knowledge Exploration using Tables on the Web
复制标题
使用网络上的表格进行知识探索
DOI：
10.14778/3021924.3021935
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Hao Zhang
中科院分区：
文献类型：
--
作者：
F. Chirigati;Jialu Liu;Flip Korn;You Wu;Cong Yu;Hao Zhang
移动设备使用的日益普及，为现代搜索引擎带来了许多功能，帮助用户满足各种信息需求。其中一种需求是知识探索（Knowledge Exploration），它可以直接通过右侧的知识面板或间接通过单个搜索结果下面的可导航部分返回相关文档以响应用户查询。现有的知识探索功能依赖于知识库和查询日志的组合。
The increasing popularity of mobile device usage has ushered in many features in modern search engines that help users with various information needs. One of those needs is Knowledge Exploration, where related documents are returned in response to a user query, either directly through right-hand side knowledge panels or indirectly through navigable sections underneath individual search results. Existing knowledge exploration features have relied on a combination of Knowledge Bases and query logs.
In this paper, we propose Knowledge Carousels of two modalities, namely sideways and downwards, that facilitate exploration of IS-A and HAS-A relationships, respectively, with regard to an entity-seeking query, based on leveraging the large corpus of tables on the Web. This brings many technical challenges, including associating correct carousels with the search entity, selecting the best carousel from the candidates, and finding titles that best describe the carousel. We describe how we address these challenges and also experimentally demonstrate through user studies that our approach produces better result sets than baseline approaches.