Internet contains large amount of data which user want to retrieve with the help of search input query. But the result return from the web has multiple dynamic output records. Hence, there is need of flexible information extraction system to convert web pages into machine process able structure which is essential for much application. This, essential information need to be extracted & annotated...

The problem of Web data extraction and XML-based methodology whose goal extends far beyond simple “screen scraping are discussed.” An ideal data extraction process is able to digest target Web databases that are visible only as HTML pages, and create a local, identical replica of those databases as a result. What is needed in this process is much more than a Web crawler and set of Web site wrap...

As a huge data source the internet contains a large number of valuable information, and the data of information is usually in the form of semi-structured in HTML web pages. In order to extract the web data and organize the data with the relationships which are similar to the real world, this paper has proposed a method for automatic data extraction from the web. With the combination of keywords...

The amount of useful semi-structured data on the web continues to grow at a stunning pace. Often interesting web data are not in database systems but in HTML pages, XML pages, or text les. Data in these formats is not directly usable by standard SQL-like query processing engines that support sophisticated querying and reporting beyond keyword-based retrieval. Hence, the web users or application...

Multi-agent systems can be fully developed only when they have access to a large number of information sources. These latter are becoming more and more available on the Internet in form of web pages. This paper does not deal with the problem of information retrieval, but rather the extraction of data from HTML web pages in order to make them usable by autonomous agents. This problem is not triv...

Many web sites provide regularly updated data in a fixed structure. These data are very useful for some applications with autonomous agents (e.g. to determine the exchange rates). However, data extraction from these sites is nontrivial because of the great variations from one site to another. In this paper, we propose an approach based on ontology, which facilitates the formalization and the ex...

By leveraging on the redundant information on the Web, we are building a Web information extraction system that concentrates on eupeptic data in Web tables. We use the term eupeptic to describe such representations of information that allow for easy interpretation of the subject–predicate–object nature of individual data items. The system mimics a human approach to information gathering. It exp...