Deep Web Data Integration with near Duplicate Free

Deep web data integration has become the center of many research efforts in the recent few years. Near duplicate detection is very important for deep web integration system, there are seldom researches focusing on integrating deep web Integration and near duplicate detection together. In this paper, we develop a integration system, DWI-ndfree to solve this problem. The wrapper of DWI-ndfree consists of four parts: the form filler, the navigator, the extractor and the near duplicate detector. To find near duplicate records, we propose efficient algorithm CheckNearDuplicate. DWI-ndfree can integrate deep web data with near duplicate free and has been used to execute several web extraction and integration tasks efficiently.

Deep Web Data Extraction Based on Regular Expression

Data extraction is an important issue in Deep web data integration. In order to extract the query results of the Deep Web, it is firstly required to locate the target data block correctly. Due to the html source code of web pages can be parsed as well structured DOM, we proposed an effective algorithm for discerning the common path based on hierarchical DOM. Based on the common path and our predefined regular expression, the target data of the Deep Web can be extracted effectively. The experimental results on real websites show that our proposed algorithm is highly effective.