Sorting Topic Specific Web Pages Based on Ontology Knowledge

Due to the independence of the domain knowledge, general search engine has "theme drift" problem in the search of domain knowledge. Topic specific search engine offers a faster, and more accurate web resources retrieval service, and a good web page sorting algorithm can improve user experience. In this paper, we proposed a new sorting algorithm for topic specific search engine based on ontology knowledge, by using the hierarchy relationship of ontology knowledge to judge the importance of the words in web pages, and sorted web pages with the obtained cumulated score. To verify the effectiveness of the proposed algorithm, we set up an evaluation system and compared it with traditional sorting algorithm based on TF-IDF. The experimental results show that our algorithm is more accurate and have better user experience.