The alias of entity means the different names which refer to the same entity. Traditional alias extraction methods often have two problems: 1) the difficulty of constructing training corpus; 2) the lack of timeliness. To resolve the two problems, this paper proposes a graph based alias extraction method using query log. This method uses context information and query-link information, constructs a two-layer graph (including the candidate alias layer and the query-link layer) and sorts the alias using random walk algorithm. The experimental results show that: 1) our method achieves the accuracy of 71.8%, which proves our method is effective. 2) Using query-link information outperforms the method which uses context information and the combination of this two type' s information improves the performance.
