Presenting a set of similar or diverse ideas during the idea generation process leads ideators to come-up with more creative and diverse ideas. However, to better assess the similarity between the ideas, we designed two matching systems, namely I-Match and OntoIdea. In the context of the idea generation process, each idea is represented by a set of instances from DBpedia describing the main concepts of the idea. Then, the developed matching systems are applied to compute the similarity between a set of instances that represent the ideas. The purpose of our participation at OAEI is to evaluate our designed instance matching algorithm in order to apply it to assess the similarity between ideas. The re- sults obtained for the first participation of I-Match and OntoIdea systems at OAEI 2017, on different instance matching tracks are so far quite promising.