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Query interfaces provided by the Deep Web are clues to disclose the hidden schemas. But the complicated semantic relationships in the query interfaces lead to the lower generality and ability of local-as-view (LAV) method in the traditional information fusion system. To address the problem, an Ontology extended semantic related group algorithm is presented. The algorithm is to extract attributes using...
With the myriad emergence of the online Web Database, the Web is divided into a two layers information platform which is composed of surface Web and deep Web. The huge information hidden in the deep Web is higher in the quality than the surface Web. This interests the researchers of the traditional database community. In order to adapt the Web community, the idea of information fusion is further transformed...
Information fusion is an interdisciplinary research field aiming to combine and merge the information or data from different information sources. The output of information fusion system is a global schema through which users can get information or data from different dispersed sources. To generate a deep Web information fusion system is facing many challenges, because the nature of Web is different...
The Web has been dramatically deepened by the deep Web, which the traditional information fusion system shows disability to integrate. The myriad information hidden behind the deep Web attracts the considerable attention from the researchers. The key element in a deep Web information fusion system is the data source modeling problem, which determine the whole technical method of the whole system....
The Web has become the largest information source, which includes all aspect of human's life. The myriad information is believed to be hidden behind the deep Web, which the search engines and crawlers can't access directly. To extend the human's physical limitation of accessing information, the information fusion system is introduced. The Web is very different from the traditional database community,...
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