I. Question proposal
As an increasingly popular Internet-based communication method, the email system carries a large amount of data exchange every day. These exchanged data contains a large amount of useful information (knowledge). Given the current characteristics of point-to-point communication in E-mail, such information can only be stored in the communication parties and cannot be fully utilized.
For enterprises and institutions, e-mails are an important means of daily internal and external communication. Many important information is contained in e-mails, which are a valuable asset of enterprises and institutions, scattered individuals cannot be shared, which is a waste of resources.
To facilitate and effectively collect and manage useful mail information, we have developed this e-mail-based knowledge management tool.
Ii. Preliminary Design
The email-based knowledge management system consists of the mail data collection module, data storage management module (data expression and storage), and search module (search engine and its client search tools.
The data collection module analyzes mail protocol analysis, obtains mail-related data, and stores the data in data storage (data warehouse. The Data Storage Management Module establishes a mail data representation model and manages the data. The search module consists of search engines and client search tools.
The development platform uses IBM WebSphere and the database uses DB2. It is intended to be an open-source project and personal development. It is planned to be completed in about half a year.
Iii. Practical Value
The email-based knowledge management system can be used by various enterprises and institutions with a large number of emails circulating. Through the mail data collection, data storage management and search function modules, it helps to more clearly and effectively identify, extract and save all kinds of important information, so as to share and use useful information. For example, an enterprise receives a large number of emails every day asking about the various situations of related products. If these resources can be effectively used, and open to the outside in the form of a search, it will avoid answering the same user's questions every day, saving manpower and material resources. At the same time, you can analyze these large numbers of emails to get information that enterprises are interested in, such as what products have the most problems.