在許多國家已開始重視研究成效以及越來越多跨領域研究合作的環境下，對於研究人員而言，知識管理可以幫助學術計算效率、加強研究管理和促進知識解決方案及創新。網路的蓬勃發展使得知識與資訊不再侷限於紙本、地點及時間，在研究人員時常參考的眾多資訊中，研討會在學術交流上扮演很重要的角色，因為研討會提供學者發表和討論其研究初步結果的機會、增進彼此間的社交關係，此外研討會亦可使研究人員掌握目前領域研究趨勢及發展情況。
但網路上資訊量的快速成長卻使得研究人員在搜尋研究相關的資訊時往往須經過篩選才能得到真正想要的資訊，以及針對關鍵字為主的搜尋功能和沒有提供分類及分類之間關聯可能造成某些對研究人員有幫助的資訊沒有被找出來，因此需要一個合適的知識管理平台來輔佐研究人員，其中知識本體可以提供數位資訊需要制式化且具備讓機器可理解、傳遞的知識結構、幫助知識管理。但先前知識本體建構大多沒有考慮到「人」的訊息，因為研究知識中，那些研究主題的相關是可以透過社群網路，知道社群成員之間的關聯性，藉由考慮誰與誰和合作，便能豐富所擷取的知識本體。
為達到研究知識管理，主題地圖為實作知識本體的方法之一，因此本研究提出考量社群資訊來完成建構主題地圖之知識本體。並將所提出之方法以研討會資料集為例子，針對各研討會資料之標題、關鍵字、摘要及研究社群所探勘的資訊來進行處理，並以本研究所提出之主題地圖建構方法找出這些研討會資料集的主題與這些主題間的關聯，視覺化後供使用者查詢與瀏覽。本研究利用知識本體富含的知識階層架構，實驗證明能夠幫助研究人員更輕鬆且快速地幫助找尋所需的資訊，並且加入社群資訊的考量，加入了ODP類別資訊和社群資訊也能成功幫助使用者在搜尋和瞭解研討會資訊，提供更好的結果。

Nowadays, many countries have begun to pay attention on research effectiveness and more and more cross disciplinary research has been made. For researchers, knowledge management can enhance our ability to streamline academic computing support, augment research stewardship, and accelerate the creation of knowledge-based solutions and innovations. The booming of the Internet makes knowledge and information no longer restricted to paper, location and time. Among numerous information that researches may refer to, conferences play an important role in scholarly communication since they provide researchers with an opportunity to present and discuss preliminary results of their research and improve their personal social networks. Furthermore, conferences allow researchers to stay abreast of current research trends in their field and learn about cutting-edge developments in their specialty.
However, because of the explosive increase in information published on the Web, researchers have to filter information in order to get what they really want when they are searching for conference related information. Researchers cannot find the associations between topics which may cause some useful information for them not shown. Hence, they need a proper knowledge management platform while ontology can provide the formalisms and knowledge structuring for comprehensive and transportable machine understanding that digital information requires. But most previous ontology construction methods did not take “people” into account. Through considering of social information like who collaborates with whom, research topics can be associated, thus the extracted ontology might be improved.
Topic Maps is a way of implementing ontology. To achieve research knowledge management, this paper proposes a method of constructing research Topic Maps considering social information. First, extract conference data from the Web. Then extract conference topics and the relationships between them through the proposed method. Finally visualize it for users to search and browse. And the questionnaire survey has proven that the research Topic Maps not only successfully facilitates researchers getting useful search results but also offers better results by analyzing social information which successfully helps researchers find the possibilities of cooperation/combination as well as associations between research topics.

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