Information Extraction from Web Pages Using Automatic Pattern Discovery Method Based on Tree Matching

This paper discusses the problem of information extraction fromsuch web pages. Internet, especially the web has turned into a vast source of information. Most of the web content are currently generated from data stored in databases. From information provider view, the presentation of them tends to follow some predefined structures or fixed templates. On the other hand, some users want to consume such structured data to be processed further. Extracting such data is useful because it enable human to obtain and integrate data from multiple sources. Automatic pattern discovery method based on tree matching is used as structured data extraction method. The main advantage of the method is that it requires less human intervention. In this paper we will discuss the implementation of the extractor using that method and then the approach is evaluated in terms of correctness (recall) and precision. Experimental results show that almost all extraction target can be successfully extracted by the extractor developed. However, sometimes other structured data that are not being targetted are also extracted by the extractor. This lead to the provision of manual tuning or filter feature on the extractor develope