Web data extraction and alignment using tag and value similarity

Based on the query entered by user web databases generate query result pages. To extract the data from these generated result pages automatically is very useful for various applications, like data integration, which need to work with different web databases. Many techniques are available to extract data and align it but they did not consider the unstructured data. This paper presents a novel technique for data extraction and alignment. It collects data from internet related to user´s query which contains huge amount of data and it can be in unstructured form also. Here the aim is to find out only important data from it and align it in tabular form so that it will be very easy to compare different data.