Query expansion model based on concept graph information retrieval
Mou Li-ke · Journal of Computer Applications · 2009
One query expansion method,which was based on concept graph,was proposed to solve the low recall and precision rates in the traditional information retrieval methods based on matching keywords .On one hand,words and phrases,which are retrieved by users,can be expanded based on HowNet.Meanwhile,user queries and documents will be transformed into concept graphs.On the other hand,partial matching and semantic similarity based on concept graphs is adopted to acquire similarity between concept graphs,which will optimize the whole retrieval process.This method is proved to be more effective by experiment.