Crowd ideation platforms provide a promising approach for supporting the idea
generation process. Research has shown that presenting a set of similar or
diverse ideas to users during ideation leads them to come-up with more
creative ideas. In this paper, we describe Innovonto, a crowd ideation
platform that leverages semantic web technologies and human collaboration to
identify similar and diverse ideas in order to enhance the creativity of
generated ideas. Therefore, the approach implemented captures first the
conceptualization of users' ideas. Then, a matching system is employed to
compute similarities between all ideas in near real time. Furthermore, this
technical report outlines the results obtained from the evaluation of
Innovonto platform. The hallway study, conducted at our research group,
allowed us to test each step of Innovonto platform as well as the proposed
approach in assessing similarities between ideas. As results, we received 20
ideas and 23 feedbacks from 9 users. The analysis of the results shows good
performance of Innovonto steps and confirms the findings of existing research