节点文献
规划设计领域的文档模型及知识搜索的研究与实现
The Research and Implementation of Plan-Desinging Domain’s Document Model and Knowledge Search
【作者】 李亚巍;
【导师】 方维;
【作者基本信息】 北京邮电大学 , 计算机技术(专业学位), 2013, 硕士
【摘要】 在21世纪经济发展过程中,知识所起的作用愈来愈大。企业知识伴随企业的发展壮大而积累沉淀,是企业不可剥夺的一笔重要财富。近年来,为了有效的管理企业知识,一种新型的企业管理方式正在逐步渗入到越来越多的企业,企业知识管理平台日趋成熟。这些平台能够高效的整合企业内部的各类知识,并能够利用搜索引擎快速搜索出与关键词和内容相匹配的资料信息,提供了海量的数据供用户参考,在一定程度上极大的方便了用户之间的共享。但是目前的知识管理平台还面临着一些问题。一是未考虑企业知识访问的安全性;二是尽管搜索引擎能够保证信息的查全率,却不能保证查准率。本文基于这两个问题开展研究工作,具体研究内容如下:1)企业内部知识以各种载体存在于知识管理平台中,且大部分知识以文档格式存储。本文将在知识以文档存储的前提下,研究规划设计领域的文档分类,并梳理该领域的文档组织结构,便于后台存储及搜索。2)基于企业的知识安全性考虑,本文采用基于角色的访问控制技术。系统中除了原有的用户和权限之外,增加了新的概念-角色,通过在用户和角色、角色和权限之间建立联系来确保企业知识的访问安全性。采用向角色赋予权限的方法,简化了系统中的权限管理。用户进入平台后,能够根据自己角色具有的权限访问相应的内容。3)基于企业内部知识搜索准确性考虑,本文利用规则引擎的易用性和功能完备性,在研究和使用规则引擎的基础上,建立一套知识使用规则,提高查准率。论文基于上述三点实现一个基于角色访问控制和规则引擎的知识搜索系统。用户根据对应的角色登录系统,基于用户自身的角色以及用户搜索的关键字,结合规则引擎中的使用规则,向用户提供相对应的企业知识。
【Abstract】 In the development of21century’s economy, knowledge plays a very important role. Along with the development and expansion of the enterprise, enterprise’s knowledge is accumulating all the way, and it has become an important wealth that can’t be deprived by other enterprises.Recently, in order to manage the enterprise’s knowledge efficiently, knowledge management as a kind of new enterprise management mode, is gradually penetrate into more and more enterprises. Enterprise knowledge management platform has become more mature than before, the platform can effectively integrate the various kinds of knowledge, and users can quickly search the information through a search engine with keywords and content that matching the data information. In this way, the search engine can provide much information for the users, which greatly facilitated the information’s sharing between users in a certain extent.Although the knowledge platform supplies strong functions for users, there are also some problems we have to solve. For the first one, it ignores the security problem of the enterprise. For the second one, it cannot guarantee the precision of the search, although it can ensure the accuracy rate. In this paper, I will carry out the research work based on the two questions, and the research contents are as follows:1) The internal knowledge that stores in the knowledge management platform has several carriers, and most of it stores in document format. This paper will be on the base that knowledge is stored in document, then research the document classification, combine the organizational structure of this field. In this way, the knowledge is easy to store and search.2) Considerate the enterprise’s internal knowledge security, this paper adopts role based access control technique in the system; add the concept "role" between users and permissions. The system establishes contact not only between the users and the roles, but also between the roles and the permissions to ensure the security of enterprise knowledge. Users of the system are divided into a number of groups, and then assign the appropriate role to the user group, and each role has its corresponding set of permissions. We can just assign role for each user when they are created, in this way it can simplifies the user rights management, and reduce system overhead. When users login in the system, they can access the system content according to their role.3)Considerate search of the enterprise’s internal knowledge efficient, this paper uses the rules engine for its ease of use and functional completeness, on the base of studying and using rule engine, establish a set of rules to improve the knowledge utilization.This paper will implement a user access system according to the role-based control and rule engine technology based on the three mentioned point above. The users will login the system according to the corresponding role, then based on the user’s role and user search keywords, in combination with a rule engine in the use of rules, to provide users with the corresponding enterprise knowledge.
【Key words】 Knowledge Management; Rule Engine; Role basedaccess control; Search;
- 【网络出版投稿人】 北京邮电大学 【网络出版年期】2013年 11期
- 【分类号】TP391.3
- 【下载频次】17