隨著資料數位化的時代來臨，文件刊物的儲存方法，逐漸轉變為電子化的形式，以便於流通。然而，由於電子化刊物資料量的快速爆增，使得研究人員雖能輕易的收集大量的資料，但卻無法從中擷取重要資訊。為了解決這類的問題，目前電子資料庫通常會提供搜尋引擎，利用關鍵字搜尋比對，但其搜尋結果仍夾雜著許多不必要的資訊。
　　為了能夠更有效率的提供研究人員找尋研究相關資料，利用主題偵測與追蹤技術的特性，能夠整理出研究資料集中的代表主題及主題趨勢的追蹤，但以往的主題偵測技術，僅考慮單一資料集，且並未針對研究趨勢的走向進行分析。再者，在進行主題偵測時，所使用的研究資料集中，字詞的語意像是同義字、拼字變化及作者用字表達方式也會影響主題偵測的結果。另外，過去研究對於所產生出來的主題及其趨勢消長並沒有進一步將其整理分析，或是實作成系統，使得主題偵測結果並沒有直接地呈現給研究人員參考。
　　故本研究利用研討會論文與期刊論文之間有先後影響關係，以研討會論文及期刊論文作為資料集，擷取論文的標題、摘要及關鍵字，並在特徵選取時除了字詞頻率外，額外考慮語意及論文本身的被引用次數，來增加特徵選取的效率，來進行主題偵測與追蹤，並驗證加入語意考量及引用次數對於主題偵測結果所帶來的正面影響。除此之外，也利用主題偵測與追蹤實作的結果進行系統介面的實現，能更直接地提供研究人員熱門的研究主題及趨勢走向的分析，期望能使研究人員在找尋研究方向時，有更快速的參考依據。

With the digitization of knowledge, all kinds of documents are gradually transformed into electronic form in order to transfer easily. However, due to the rapid increase of the amount of data, researchers cannot extract important information even though they can collect research data easily. Then, most of the electronic databases provide search engine which make keywords as a filtering tool as a solution, but the results still cannot fulfill the needs of researchers.
In order to find research materials moreefficiently, researchers use topic detection and tracking technology to generalize topics of research papers and trends of research topics. Nevertheless, the methods in the past only had one date set, and usually did not focus on analyzing research trends. Moreover, the semantic information, such as the meaning, spelling or the way that every author wrote in their paper, makes it harder to do topic detection and tracking. While implementing the topic detection and tracking technology, researchers in the past didn’t take the result for further use, like realizing a user interface to present the trend.
Therefore, this paper takes advantage of the relations of papers between conferences and journals to do topic tracking. Besides, semantics and citation count are taken into consideration on feature selection to increase the efficiency of clustering, and this paper also takes use of the results to build a topic tracking system. This study can help researchers to reduce the time working on selecting research field by providing hot topics and trend analysis of each topic to them with a friendly user interface.

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網站文獻
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