Application of ontology intelligence search engine based on ant colony algorithm

As the search efficiency is not high and it´s difficult to find user´s interested information, this paper proposes the combination of ant colony algorithm and ontology to create search engine. By the clear formal specification of body shared concept, the search engine has intelligent search features, and then it can use ontology to provide users´ interested search results. In the process of ontology´s usage, in order to make different ontology interoperate, the paper introduces similarity computing, and then improves it. Based on the characteristics of ant colony algorithm, it introduces multi-pheromone to change search engine strategy, so it can improve search engine efficiency. While the multi-pheromones apply to different servers, with the increase of search times, it can make the finding of best path more effective.