Mail Extract Knowledge Based Entities And Information Network Management System Design And Implementation

With the increment of personal user's information and data,the research on PIM is getting more and more popular and intense. As an important information repository,Email is playing a important role in the research on PIM.But with the increase of the personal information,personal users have to face more and more difficulties during using and management.For example,they always forget the query keywords when they prepare to search some important information from their email,or the users are not satisfied with the result from querying.It means that the email is difficult to help personal user organize and manage their information.At the same moment,the research about entity become a hot topic whereas more and more research pay attention to the identifying,categorizing and application of entity which are close to the media of entity.Email is the most common media of entity.Based on the feature of entity and the connection between entity and Email,this paper help the personal users organize and management the personal information from Email more effectively.Furthermore,because of the feature of the Email,a information network is found automatically between the personal user of Email and the users who connect with him.How to extract knowledge from information network has become an important work with the popularity of information network. With the further research.this paper try to study Email data more deeply,then we can extract useful knowledge and information from the network between Email user and his contacts.During the knowledge extraction from the information network,the two most popular method are ranking and clustering.Both clustering and ranking can provide overall views on information network data,and each has been a hot topic. However, ranking objects globally without considering which clusters they belong to often leads todumbresults.Similarly,clustering a huge number of objects in one huge cluster without distinction is dull as well.This paper propose some new methods to management the importance of contacts and mails after learning the newest research of ranking and clustering.In this paper,we propose a email management system which based on entity mining,querying and processing and improve the system after deeply study and research.With the feature of the information network and the experience of the former,we improve the methods of ranking and clustering. Meanwhile,we point out our idea to carry out the key technique----Chinese word segmentation entity mining entity association management,the reveal in graph for results and network,ranking and clustering.Atlast.our system help users improve their working efficiency on Email.