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Visual Exploratory Search of Relationship Graphs on Smartphones

机译:智能手机上关系图的视觉探索性搜索

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摘要

This paper presents a novel framework for Visual Exploratory Search of Relationship Graphs on Smartphones (VESRGS) that is composed of three major components: inference and representation of semantic relationship graphs on the Web via meta-search, visual exploratory search of relationship graphs through both querying and browsing strategies, and human-computer interactions via the multi-touch interface and mobile Internet on smartphones. In comparison with traditional lookup search methodologies, the proposed VESRGS system is characterized with the following perceived advantages. 1) It infers rich semantic relationships between the querying keywords and other related concepts from large-scale meta-search results from Google, Yahoo! and Bing search engines, and represents semantic relationships via graphs; 2) the exploratory search approach empowers users to naturally and effectively explore, adventure and discover knowledge in a rich information world of interlinked relationship graphs in a personalized fashion; 3) it effectively takes the advantages of smartphones’ user-friendly interfaces and ubiquitous Internet connection and portability. Our extensive experimental results have demonstrated that the VESRGS framework can significantly improve the users’ capability of seeking the most relevant relationship information to their own specific needs. We envision that the VESRGS framework can be a starting point for future exploration of novel, effective search strategies in the mobile Internet era.
机译:本文提出了一种用于智能手机上的关系图的视觉探索性搜索(VESRGS)的新颖框架,该框架由三个主要组件组成:通过元搜索在Web上进行语义关系图的推理和表示,通过两次查询对关系图进行视觉探索性搜索通过智能手机上的多点触摸界面和移动互联网进行的浏览,浏览策略以及人机交互。与传统的查找搜索方法相比,拟议的VESRGS系统具有以下感知优势。 1)它从Google,Yahoo!的大规模元搜索结果中推断出查询关键词与其他相关概念之间的丰富语义关系。和Bing搜索引擎,并通过图形表示语义关系; 2)探索性搜索方法使用户能够以个性化的方式自然而有效地在相互关联的关系图的丰富信息世界中探索,探索和发现知识; 3)它有效地利用了智能手机的用户友好界面以及无处不在的Internet连接和便携性的优势。我们广泛的实验结果表明,VESRGS框架可以显着提高用户寻找最相关的关系信息以满足其特定需求的能力。我们设想,VESRGS框架可以作为未来探索移动互联网时代新颖,有效的搜索策略的起点。

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