A novel alignment algorithm for effective web data extraction from singleton-item pages

Transformation from Web Pages to Optimal Normal Form Database Schema Using a Conceptual Schema Approach

“…Researches on data extraction from the Deep web have been conducted by [13][14][15][16][17][18][19][20]. They are differentiated based on the number of web page inputs.…”

“…Other researchers [16][17][18][19][20] use several Deep webs as inputs to confirm information not tagged by tables and lists to solve the previous problem. Those researchers use how the data are embedded into a template and formatted to display.…”

“…Researches [18][19][20] used a different method, which encodes HTML paths and contents, then mining the mandatory template first. The template is used to segment webs and solves problems for each segment.…”

“…Web pages, webs for short, will be the best potential data source for BI. Many web data extraction researches have been conducted before the Industrial 4.0 era [12][13][14][15][16][17][18][19][20].…”

“…It is about 10% 1 of the entire webs. In other words, the rest of the webs, around 90% 2 , are Deep/Dark webs [13][14][15][16][17][18][19][20]. Google could not index the Deep/Dark webs information, so Google cannot search for the Deep webs.…”