SIM: A Search Engine by Correlating Scattered Data Sets for Cyber, Physical, and Social Systems
SIM: A Search Engine by Correlating Scattered Data Sets for Cyber, Physical, and Social Systems
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DOI：
10.1109/jsyst.2015.2414179
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发表时间：
2017-03
影响因子：
4.4
通讯作者：
Yuhui Deng;Zhen Zhang;Junlian Liao;L. Yang
中科院分区：
文献类型：
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作者：
Yuhui Deng;Zhen Zhang;Junlian Liao;L. Yang
由于日常生活设备的融合，如何在新兴的网络、物理和社会系统中有效地定位文件正成为一个非常重要的挑战。一个典型的场景是这样的。如果你不记得任何关于一个文件（如关键字或文档中的一些文本），除了你正在寻找的东西的一些碎片记忆，你怎么能在系统中的许多大文件夹中找到目标呢？一个潜在的解决方案是把你记得的任何东西作为一个垫脚石，沿着一条通往一小部分候选目标的道路前进。本文提出了一个桌面搜索引擎，搜索隐式记忆（SIM），它利用显式和隐式记忆的设计。外显记忆被用作进入内隐记忆的垫脚石，并在内隐记忆中定位目标。本文还提出了监视和关联分布在计算机用户的磁盘文件系统中的现有数据集，以跟踪用户活动并构建关联图。实验结果表明，SIM是有效的和轻量级的。SIM可用于补充现有的基于关键字的桌面搜索引擎。
How to effectively locate a file in the emerging cyber, physical, and social systems is becoming a very important challenge due to the convergence of everyday life devices. A typical scenario goes like this. If you do not remember anything about a file (such as keywords or some text in the document) except some fragmented memories of what you are looking for, how can you locate the target in one of the many large folders in the system? A potential solution would be to use whatever you remember as a stepping stone along a path that leads to a small set of candidate targets. This paper proposes the design of a desktop search engine, Search Implicit Memories (SIM), which leverages both explicit and implicit memories. Explicit memories are employed as stepping stones to tap into the implicit memories, and locate the target in the implicit memories. The paper also proposes to monitor and correlate the existing data sets distributed across computer users' disk file systems to track user activities and construct correlation graphs. Experimental results show that SIM is both effective and lightweight. SIM can be used to complement existing keyword-based desktop search engines.