【目的/意義】隨著語義網技術的發展,學者對于關聯數據的研究及實踐不斷地深入,并獲得了圖情領域的極大關注。適時理清關聯數據的發展狀況,并對國內外的研究、實踐情況進行對比,可為關聯數據研究指明發展路向,并為后續研究提供一定的參考。【方法/過程】以WOS和CNKI為數據源,采用文獻計量學中的圖表統計、共詞分析和聚類分析等方法繪制可視化知識圖譜,通過對作者、研究機構和關鍵詞數據的處理,對關聯數據技術的發展及在圖情領域的研究、應用狀況進行了梳理和分析,并對國內外的情況進行了對比。【結果/結論】關聯數據研究已成為互聯網的熱門研究領域。國內外關聯數據的研究在合作關系、研究主題、應用實踐等方面均存在差異。一方面,國內的學者和研究機構要打破機構限制,加強合作,不斷開創研究新領域;另一方面,圖書情報機構應積極利用語義網技術進行資源整合與發布。

【Purpose/significance】With the development of semantic web technology, the research and practice of the linked data are deepened. The scholars in the fields of library and information science have paid great attention to this research area. Sorting out the development of linked data, and the research and practice at home and abroad timely, can indicate the development direction for the study of the linked data, and can provide a reference for the follow-up study.【Method/process】This paper takes WOS and CNKI as the data source, and uses the methods of graphing statistics, co-word analysis and cluster analysis to draw the visual knowledge map. Through the processing of the author, the research institutionand the key word data, the research status of the linked data are sorted out and analyzed, and the situation at home andabroad are compared.【Result/conclusion】Linked data research has become a hot research field of the Internet. The re-search of linked data at home and abroad has differences in the author relationship, the research topics and application practice. On the one hand, domestic scholars and research institutions need to break the restrictions of institutions, strengthen cooperation, and constantly open up the new research field,on the other hand, library and information institutions should actively use semantic web technology to integrate and distribute their resources.