论文标题:基于本体的隐性知识管理系统研究
Research on the Ontology-based Tacit Knowledge Management System
论文作者
论文导师 吴江,论文学位 硕士,论文专业 计算机软件与理论
论文单位 西北大学,点击次数 115,论文页数 77页File Size5097K
论文网 http://www.lw23.com/lunwen_651592027/
Tacit Knowledge Management;; Ontology;; Metadata;; Knowledge Acquisition
在人类的知识结构中,显性知识只占10%,另外90%是隐性知识。隐性知识的高效交流、共享和充分利用已成为组织进行知识创新和形成核心竞争力的基础和源泉。因此,隐性知识管理已成为当前知识管理的核心。 目前对隐性知识管理的研究存在两个主要不足之处:1)隐性知识管理系统大都基于传统的知识库系统,无法充分地表示大量复杂的知识;2)对于隐性知识的管理大都只是侧重某一方面,没有提出一个较为全面的隐性知识管理方案。 本文在分析隐性知识管理研究现状的基础之上,以促进隐性知识的交流,加强隐性知识的共享,提高隐性知识的利用率,建立一个较为完备和通用的隐性知识管理系统为目标,对隐性知识的相关理论、本体论、系统框架、隐性知识获取等关键技术进行了研究。论文的贡献主要体现在以下几个方面。 1)本文提出了一个功能较为全面的基于本体的隐性知识管理系统框架,该框架采用三层结构,即存储层、功能层和表现层,实现了隐性知识管理的三个主要环节,即知识的共享、知识的结构化和知识的传播。 2)本文从知识获取角度给出了对隐性知识的分类方法,即分为能够表述的隐性知识、难以表述的隐性知识、不能表述的隐性知识。针对不同的隐性知识,系统采用不同的方法获取和传播。 3)本文提出了基于向量空间模型的专家地图的构建方法。该方法既可以实现专家的自动分类,又便于专家的检索。以专家地图、专家隐性知识获取为主构建的专家网络模块可以使用户通过多种方式获取专家头脑中的隐性知识。 4)基于本体论建立了本体知识库,使用本体描述语言表示知识对象,从而实现了知识的共享、重用和互操作。并通过知识标注对知识对象建立了知识项,屏蔽了知识对象实体的细节和表示形式的异构性,将知识对象实体与用于检索的知识项分离,提高了检索速度。 5)本文设计并实现了集交流平台、专家网络、资源管理等功能为一体的隐性知识管理系统;系统提供了对知识对象的多种检索方式,主要包括全文检索、导航检索、语义检索、专家检索等。
Tacit knowledge accounts for 90 percent in human knowledge structure, so its high efficiency exchange, sharing and fully utilization become the base and source of organizing knowledge innovation and forming core competitive abilities. Thus, tacit knowledge management has turned into the main focus of current knowledge management. At present, there are two major deficiencies in the study of tacit knowledge management: Firstly, the studies are mostly based on traditional knowledge base system, which can not adequately figure out abundant and complex knowledge; Secondly, the studies of tacit knowledge management all emphasize particularly on one aspect, so a more comprehensive study on the tacit knowledge solve scheme is in urgent need. Based on an analysis of the present studies on tacit knowledge management, this thesis is devoted to a study on some key techniques of tacit knowledge such as the related theories, ontology, and the acquisition of tacit knowledge, aiming to establish a more complete and general management system of tacit knowledge so as to promote the communication, the sharing and the utilization ratio of tacit knowledge. The main contribution of this thesis is embodied in the following five aspects. Firstly, this thesis proposes a tacit knowledge management system framework which is more comprehensive and essence-oriented in function. It is a framework of three layers, namely the memory level, the function level and the performance level. It realizes the three essential links in the recessive knowledge management- the sharing, structuralization and dissemination of knowledge. Secondly, a new classification method of tacit knowledge is given out from the view of acquisition in this thesis, namely the expressible tacit knowledge, hardly expressible tacit knowledge and inexpressible tacit knowledge. According to the classification, the system adopts different method to disseminate and acquire. Thirdly, the thesis proposes a construction method of expert map based on vector space model. This method implements the automatic classification of experts to simplify the expert retrieval. The expert module, which mainly based on expert map and tacit knowledge acquisition of expert, provides various ways to the user to acquire the tacit knowledge. Fourthly, an ontology knowledge base is established on the basis of ontology. By using ontology description language in representing knowledge objects, the base actualizes the sharing, reusing and cross operating of the knowledge. In addition, knowledge terms are established for the knowledge objects by means of knowledge annotation with the shielding of the detail of knowledge object entity and the heterogeneity of expression forms, which separates the knowledge object entity from the knowledge terms and leads to an advancement of retrieval speed. Fifthly, the thesis devises a tacit knowledge management system which sets the function of communication platform, expert network, resource management, etc into one body and contributes in the various retrieval modes of knowledge objects, including resource retrieval, semantic retrieval and expert retrieval, etc.
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