Paper Title
Implementation Of Page Ranking Using Genetic Algorithm
Abstract
Web Search engine plays a vital role in getting the information proficiently for the user needs from the immense
web data. The proposed Genetic Page Rank algorithm (GPRA) based on Google’s Page Rank algorithm (PRA) for the
Searching purpose. Using the proposed method we are calculating the ranking for the WebPages. Genetic Algorithm (GA) is
applied for ranking Web Pages in which the two parameters: Mutation is used as a similar words (synonyms) and Crossover
is consider as a concept. The proposed method gives the result set for the users given query by displaying the synonym
words from the Wordnet database and it ranks the webpage by taking into consideration that number of times a given
keyword and their synonym words appears in that webpage as well as the hyperlink count for that keyword and also for the
synonym words.
Keywords- Genetic Algorithm, Ontology Concepts, Ranking, Semantic Similarity, Web Search