Approach to deep Web data acquiring based on circular strategy and dynamic knowledge
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 d...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)10-0035-09/ |
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| _version_ | 1841539916023988224 |
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| author | Xue-feng XIAN Zhi-ming CUI Peng-peng ZHAO Yin-hong LIANG Li-gang FANG |
| author_facet | Xue-feng XIAN Zhi-ming CUI Peng-peng ZHAO Yin-hong LIANG Li-gang FANG |
| author_sort | Xue-feng XIAN |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-acd15e263753463ab6810f7426dcac5b |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-acd15e263753463ab6810f7426dcac5b2025-01-14T06:33:00ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-10-0133354359665315Approach to deep Web data acquiring based on circular strategy and dynamic knowledgeXue-feng XIANZhi-ming CUIPeng-peng ZHAOYin-hong LIANGLi-gang FANGConcerning 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.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)10-0035-09/deep Webdata integrationdata acquisitiondynamic knowledgequery selectio |
| spellingShingle | Xue-feng XIAN Zhi-ming CUI Peng-peng ZHAO Yin-hong LIANG Li-gang FANG Approach to deep Web data acquiring based on circular strategy and dynamic knowledge Tongxin xuebao deep Web data integration data acquisition dynamic knowledge query selectio |
| title | Approach to deep Web data acquiring based on circular strategy and dynamic knowledge |
| title_full | Approach to deep Web data acquiring based on circular strategy and dynamic knowledge |
| title_fullStr | Approach to deep Web data acquiring based on circular strategy and dynamic knowledge |
| title_full_unstemmed | Approach to deep Web data acquiring based on circular strategy and dynamic knowledge |
| title_short | Approach to deep Web data acquiring based on circular strategy and dynamic knowledge |
| title_sort | approach to deep web data acquiring based on circular strategy and dynamic knowledge |
| topic | deep Web data integration data acquisition dynamic knowledge query selectio |
| url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)10-0035-09/ |
| work_keys_str_mv | AT xuefengxian approachtodeepwebdataacquiringbasedoncircularstrategyanddynamicknowledge AT zhimingcui approachtodeepwebdataacquiringbasedoncircularstrategyanddynamicknowledge AT pengpengzhao approachtodeepwebdataacquiringbasedoncircularstrategyanddynamicknowledge AT yinhongliang approachtodeepwebdataacquiringbasedoncircularstrategyanddynamicknowledge AT ligangfang approachtodeepwebdataacquiringbasedoncircularstrategyanddynamicknowledge |