Journal on Communications ›› 2012, Vol. 33 ›› Issue (10): 35-43.doi: 1000-436X(2012)10-0035-09

• Papers • Previous Articles     Next Articles

Approach to deep Web data acquiring based on circular strategy and dynamic knowledge

Xue-feng XIAN1,2,Zhi-ming CUI1,2,Peng-peng ZHAO1,2,Yin-hong LIANG2,3,Li-gang FANG2,3   

  1. 1 The Institute of Intelligent Information Processing and Application,Soochow University,Suzhou 215006,China
    2 JiangSu Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise,Suzhou 215104,China
    3 Suzhou Vocational University,Suzhou 215000,China
  • Online:2013-10-25 Published:2017-07-22
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Jiangsu;The Natural Science Foundation of Jiangsu College;Jiangsu Province Support Software Engineering R&D Center for Information Technology Application in Enterprise;Jiangsu Province Support Software Engineering R&D Center for Information Technology Application in Enterprise

Abstract:

Concerning on the acquisition problems on deep Web data integration such as high cost and low efficiency of query selecting,a novel deep Web data acquiring method was proposed based on circular strategy and dynamic knowledge.According to the relationship between deep Web data sources from the same domain,the circulation strategic acquisition of data source in batches was applied in such method,as well as a designed method of query selecting on dynamic knowledge based on integrated systematic.Compared with current,the method reduces the acquisition cost and with more accuracy.Experimental results show that the method can raise the acquisition efficiency of deep Web data integration.

Key words: deep Web, data integration, data acquisition, dynamic knowledge, query selectio

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