An Improved Approach for Search Results Using Web Mining
Abstract—An increasing number of databases have become web accessible through HTML form-based explore interfaces.
The data units returned from the underlying database are usually encoded into the result pages dynamically for creature
browsing. For the encoded data units to be instrument processable, which is important for many applications such as deep
web data collection and Internet comparison shopping, they need to be extract out and assigned consequential labels.
Automatic annotation move toward that first aligns the data units on a result page into different groups such that the data in
the same group have the similar semantic. Then, for each group we annotate it from different aspects and aggregate the
different annotations to predict a final annotation label for it. An annotation wrapper for the search location is automatically
constructed and can be used to annotate new result pages from the same web record. Our experiments indicate that the
proposed approach is highly effective.