An algorithm retrieving rules from Web page based on concept lattice

The emergence of World Wide Web has made flood of information. But the knowledge of the Web resources has not been utilized fully yet. Traditional search engine does not satisfy user need. At this paper, the soft match approach between user query and Web pages is put forward. And so, a Low Adjacence set is defined as Web pages in which contains all the words of user query. A concept lattice is constructed based on the set. From the hasse diagram of concept lattice, an algorithm retrieving rules between user query key words and nonuser query key words is proposed. An example illuminates the basic steps and idea of the algorithm. The experiment demonstrates that the retrieving rules speed of our algorithm increase three times than that of CLACF algorithm.