数字图书馆论坛
數字圖書館論罈
수자도서관론단
DIGITAL LIBRARY FORUM
2014年
12期
56-62
,共7页
大数据%科技文献用户%阅读行为%分析模型%知识组织
大數據%科技文獻用戶%閱讀行為%分析模型%知識組織
대수거%과기문헌용호%열독행위%분석모형%지식조직
Big data%User of scientific literature%Reading behavior%Analysis model%Knowledge organization
在大数据环境下,科技文献等各类数据爆炸式增长,却难以提供快捷和有效的科技文献服务,究其原因,主要在于科技文献资源组织没有考虑科技文献用户阅读行为。分析国内外用户阅读行为,不仅要对科技文献用户阅读行为进行分析,更重要的是对科技文献阅读用户行为知识进行组织和分析,才能为科技文献服务提供支撑。文章以提高科技文献知识服务的效率为目标,以科技文献用户阅读行为为研究对象,从知识组织角度分析科技文献用户阅读行为知识,借助大数据分析方法,对用户阅读行为知识组织的准备、获取、关联分析以及服务等组织过程,总体架构科技文献阅读行为知识组织模型,并把用户阅读行为分析融入到科技文献的知识组织和服务过程中,将用户阅读行为信息升华为用户知识需求,最终指导知识提供部门为用户提供有效的科技文献知识服务。
在大數據環境下,科技文獻等各類數據爆炸式增長,卻難以提供快捷和有效的科技文獻服務,究其原因,主要在于科技文獻資源組織沒有攷慮科技文獻用戶閱讀行為。分析國內外用戶閱讀行為,不僅要對科技文獻用戶閱讀行為進行分析,更重要的是對科技文獻閱讀用戶行為知識進行組織和分析,纔能為科技文獻服務提供支撐。文章以提高科技文獻知識服務的效率為目標,以科技文獻用戶閱讀行為為研究對象,從知識組織角度分析科技文獻用戶閱讀行為知識,藉助大數據分析方法,對用戶閱讀行為知識組織的準備、穫取、關聯分析以及服務等組織過程,總體架構科技文獻閱讀行為知識組織模型,併把用戶閱讀行為分析融入到科技文獻的知識組織和服務過程中,將用戶閱讀行為信息升華為用戶知識需求,最終指導知識提供部門為用戶提供有效的科技文獻知識服務。
재대수거배경하,과기문헌등각류수거폭작식증장,각난이제공쾌첩화유효적과기문헌복무,구기원인,주요재우과기문헌자원조직몰유고필과기문헌용호열독행위。분석국내외용호열독행위,불부요대과기문헌용호열독행위진행분석,경중요적시대과기문헌열독용호행위지식진행조직화분석,재능위과기문헌복무제공지탱。문장이제고과기문헌지식복무적효솔위목표,이과기문헌용호열독행위위연구대상,종지식조직각도분석과기문헌용호열독행위지식,차조대수거분석방법,대용호열독행위지식조직적준비、획취、관련분석이급복무등조직과정,총체가구과기문헌열독행위지식조직모형,병파용호열독행위분석융입도과기문헌적지식조직화복무과정중,장용호열독행위신식승화위용호지식수구,최종지도지식제공부문위용호제공유효적과기문헌지식복무。
With the background of big data today, various data concerning scientific and technical literature grow at an explosive speed. However, fast and efficient service is difficult to be provided for the science and technical department, for the reason that scientific literature is mainly organized in a passive way without considering the users' reading habits. On the basis of studies about domestic and international users' reading behavior, not only the scientific literature users' reading behavior is analyzed, but more importantly, the knowledge organization about this behavior is also analyzed so as to provide support to the scientific literature service. Therefore, in order to improve the efficiency of the scientific literature knowledge and with relevant users' reading behavior as subjects, this paper analyzes the reading behavior and knowledge of scientific literature users from the perspective of knowledge organization. By the big data analysis method, this paper makes research on the organization process of users' reading behavior knowledge including preparation, obtaining, correlation analysis and service etc., builds the overal architecture of the organization model, integrates the analysis into the organization and service process, then upgrades the users' reading behavior information to knowledge demands, and final y gives guidance for the knowledge department to provide users with a valid scientific literature knowledge service.