An XML-based Query Language Used in Structural Search Activity on Web
Sabin Corneliu Buraga · 2000
We propose a markup language based on XML to formulate various queries to search hypermedia information, using the AI different approaches. The search activity is using a document structure based method and it can be divided into several parts. In the first part, we are searching the information using a traditional search engine and we are storing first significant found pages. The user's queries can be formulated by using an XML-based language, called WQFL (Web Query Formulating Language), defined in this paper. The second part consists in the encoding of the Web pages structural information (the position, the occurrences and the context of some HTML elements), building a matrix. The elements of this matrix will be encoding to obtain an integer number. In the third phase, we can apply AI methods to obtain the most relevant Web page, such as a self-organizing feature maps neural network based on the competitive learning or genetic algorithms. A SAX library available on Linux can process the WQFL language.