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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/10984


    Title: Query System for Keyword History via PubMed Literatures
    Authors: Yi-Wei Liao
    Contributors: Department of Computer and Communication Engineering
    Keywords: TermHistory;TextMining;Trend Analysis
    Date: 2010
    Issue Date: 2010-11-10 11:43:13 (UTC+8)
    Publisher: Asia University
    Abstract: Search the Internet in the way of relevant documents, mostly input
    keywords to the search engine to query , and then, according to the
    importance of search engine To show the relevant documents available
    to the user. Using this transfer System check mode, it is difficult
    to observe and keyword-related events Trend. However, most of the
    documents have TimeStamp, if we can use the TimeStamp of documents,
    We can observe the keyword to a different continuous time interval
    Number of occurrences, understanding and the keywords related
    events and trends. In this study, we use a technology of Inverted-Index
    like search engine to use, computing time for each word in each unit
    The number of occurrences, as the termhistory. On the other hand,
    the In a large number of documents dealing with the calculation and
    storage of facing the problem of We use the Divide and Conquer algorithm
    method, first a large number of original documents, according
    to the time divided into many smaller units of time (monthly) file,
    and then marge termhistory of small units into large units (annually)
    Order termhistory. In experiment, we use PubMed literature and will
    be a long time A lot of literature, the termhistory of keywords into
    the use of Can provide through the Google cloud computing the interface,
    Enter keywords used to query the historical series, converted into charts Presented in a way showed that the use of the historical
    sequence of keywords, We can observe the trend of events related to
    the change.
    Appears in Collections:[光電與通訊學系] 博碩士論文

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