标题: 知识流探勘与文件推荐之整合研究
Research on the Integration of Knowledge Flow Mining and Document Recommendation
作者: 刘敦仁
LIU DUEN-REN
国立交通大学资讯管理研究所
关键字: 知识流;知识管理;文件推荐;资料探勘;资讯撷取;社群;Knowledge Flow;Knowledge Management;Document Recommendation;Data Mining;Information Retrieval;Community of Practice
公开日期: 2009
摘要: 知识是企业组织最重要的资产,也是获取竞争优势的来源。在面对快速变动的环境
中,组织必须使用有效的方法来管理知识,以帮助知识工作者找寻工作之相关知识,促
进组织中的知识保存、分享与再利用。因此,如何根据知识工作者过去工作纪录,发掘
个人或群体之工作知识流动过程,以瞭解其资讯需求与文件参考行为,进而主动提供适
切之知识支援,为重要的研究议题。本计画提出知识流探勘与知识文件推荐整合机制之
研究,运用资料探勘等相关资讯技术,进行个人与群体知识流之探勘,并考虑知识资源
的参考时间与引用关系,进而以知识流为基础,设计知识文件之推荐方法。此外,更进
一步整合知识流、社群概念与推荐技术,发展一整合性之知识文件推荐机制。
本计画提出知识流探勘与知识文件推荐整合研究,研究内容主要包括:(1)分析知识
工作者资讯需求与参考知识文件的特性,设计以个人知识流与群体知识流为基础之文件
推荐方法;(2)探讨如何运用资料探勘与资讯撷取技术分析知识文件、知识工作者的资讯
需求与参考知识文件之行为,以发掘个人知识流;(3)设计知识流调整之方法,以调整知
识流中文件与知识主题之重要性顺序;(4)探讨如何利用个人知识流之间的相关程度,建
立知识工作者的知识同好群组; (5)探讨如何设计知识流的操作机制,以整合知识同好群
组中知识工作者的知识流; (6) 研究知识流的特性,探讨如何整合知识流与推荐方法,以
有效地推荐相关知识文件与相关知识主题顺序; (7)探讨如何透过社群机制以达到组织知
识管理的运作; (8)发展与实作以个人知识流与群体知识流为基础之文件推荐方法,并进
行方法的评估;以及发展与实作以知识流为基础之社群知识推荐方法,并进行方法的评
估。
Knowledge is a critical property in organizations for obtaining competitive advantages. In
constantly changing environments, organizations have to exploit effective and efficient approaches to
manage knowledge for assisting knowledge workers to find task-relevance knowledge and
encouraging organizations to preserve, share and reuse knowledge. Hence, an important issue is how
to discover knowledge flow (KF) from historical working records of individual workers or a group of
workers for understanding their task-needs and referencing behavior of documents, and actively
providing adaptive knowledge support. This project proposed an integrated research which combines
KF mining with recommendation mechanisms to recommend codified knowledge. Applying data
mining and other related information techniques, KF mining, which takes the reference time and
citation relations of knowledge resources into account, identifies KF of individual and a group of
knowledge workers. Additionally, the flow-based recommendation schemes are developed to
recommend codified knowledge. Moreover, such schemes are further extended as an integrated
recommending mechanism which consolidates knowledge flow, concepts of community of practice
and recommendation methods.
The research directions of this project mainly include: (1) analyzing the task-needs and
referencing characteristics to develop flow-based recommendation methods based on individual or a
group of KF; (2) employing data mining and information retrieval techniques to analyze codified
knowledge, task-needs and referencing behavior of knowledge workers; (3) designing an adjusting
mechanism of KF for adjusting documents and knowledge topics in the order of significance; (4)
exploiting the similarity of KF to build a knowledge interest group; (5) designing the operations of KF
to integrate similar workers’ KFs into a group-based KF; (6) combing KF with recommendation
approaches to effectively recommend the referencing patterns of relevant documents and topics; (7)
investigating how to manage knowledge effectively in organizations through communities of practice;
(8) developing, implementing and evaluating the proposed document recommendation approaches
based on KF and communities of practice.
官方说明文件#: NSC96-2416-H009-007-MY3
URI: http://hdl.handle.net/11536/101075
https://www.grb.gov.tw/search/planDetail?id=1758865&docId=300215
显示于类别:Research Plans


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