Deep Web Integrated Query Interface Construction Method Based on Apriori Algorithm

Abstract

Deep Web contains numerous data resources and it has been a hot topic in the database research field. There are many researches focused on Deep Web query interface discovery, form information extraction, etc. However, a very limited amount of studies are about Deep Web integrated query interface construction till now. This paper provides an integrated interface construction method based on Apriori Algorithm. This method uses the Apriori Algorithms nature of mining maximum frequent item sets to find the query conditions that appear frequently in one area, and accepts these query conditions as the layout in the integrated query interface. Then the method defines the control elements of the query conditions and their value ranges according to the principle that the integrated query interface must have good query translation function to every other query interface of this area. Finally, this method is used to construct integrated query interface for book area, and the result shows that the method is feasible to generate a friendly area representative integrated query interface.

Research on Extract the Schema of Query Interfaces

“…At present, there are some researches [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] about query interface schema of Deep Web, but most of them concentrate on the study of query interface integration of Deep Web. While as the key step before the query interface integration, there are not so many studies about the extraction and establishment of query interface schema.…”