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Web Data Extraction using Semantic Generators

The faster growing in both, contents and formats, of the World Wide Web make really difficult to use the available information stored in millions of servers. Information Extraction provide a set of techniques to help in the process of identify and retrieve this information. In this paper, we propose an approach to extract information from HTML pages and to add semantic (in form of XML tags) to the data. This is achieved by helping a user by means of an assistant tool called WebMantic. The interaction with the user is used to acquire the semantic XML tag and to build several rules (called Semantic Generators) that will be used later in the extraction process.