A Novel Data Extraction and Alignment Method for Web Databases
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 4
Abstract
Online databases, also called web databases, comprise the deep web tag and value. Compared with WebPages in the surface web, which can be accessed by using a unique URL, pages in the deep web are dynamically generated in response to a user query submitted through the query interface of a web database. Upon receiving a user’s query, a web database returns the relevant data, either structured or semi structured, encoded in the HTML pages. Many web applications, such as data integration, met querying and comparison shopping, need the data from multiple web databases. For these applications to further utilize the data embedded in HTML pages, the automatic data extraction is necessary. Only when the data are extracted and organized in a structured manner, such as tables, can they be aggregated and compared. Hence, accurate data extraction is vital for these applications to perform process correctly. This paper focuses on the problem of automatically extracting data records that are encoded in the query result pages generated from web databases.
Authors and Affiliations
Sravan Kumar Teegala
Keywords
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