Discovery and classification of deep web data sources

Journal of Shanghai Normal University (Natural Sciences)

CHEN Junhua¹  CHANG Tiantian¹ 

[1] College of Information,Mechanical and Electrical Engineering,Shanghai Normal University;

关键词: Deep Web;    data source;    real time;    classification;   

DOI  :  10.3969/J.ISSN.1000-5137.2016.05.004

来源: DOAJ

【 摘 要 】

In order to acquire the Deep Web data source information maximally,and classify the data source information effectively,this paper proposes a method of Deep Web data search framework based on the real-time database to facilitate the subsequent data source integration work and the user′s retrieval.The framework designs and installs the S_DS Application module on the local server,the retrieved website installs the C_DS Application module by searching and downloading to achieve the data information connection and real-time transmission.In this framework of the real-time query,in order to ensure retrieval efficiency,this paper uses the classification method combined with Hownet and Tongyici cilin to classify each big retrieved web site.

【 授权许可】

Unknown