Ideas generation is a core activity for innovation in organizations. The creativity of the generated ideas depends not only on the knowledge retrieved from the organizations' knowledge bases, but also on the external knowledge retrieved from other resources. Unfortunately, organizations often cannot efficiently utilize the knowledge in the knowledge bases due to the limited abilities of the search and retrieval mechanisms especially when dealing with unstructured data. In this paper, we present a new cognitive support framework for ideation that uses the IBM Watson DeepQA services. IBM Watson is a Question Answering system which mimics human cognitive abilities to retrieve and rank information. The proposed framework is based on the Search for Ideas in the Associative Memory (SIAM) model to help organizations develop creative ideas through discovering new relationships between retrieved data. To evaluate the effectiveness of the proposed system, the generated ideas generated are selected and assessed using a set of established creativity criteria.

翻译：在组织中，想法生成是创新活动的核心环节。所产生想法的创造力不仅取决于从组织知识库中检索到的知识，还依赖于从其他资源获取的外部知识。然而，由于现有检索机制在处理非结构化数据时的能力局限，组织往往难以高效利用知识库中的知识。本文提出了一种新型认知构思支持框架，该框架采用IBM Watson DeepQA服务实现。IBM Watson是一种模拟人类认知能力进行信息检索与排序的问答系统。所提出的框架基于"联想记忆中的创意搜索"模型，通过发掘检索数据间的新关联，助力组织形成创造性想法。为评估该系统的有效性，我们依据一套成熟的创造力标准对系统生成的想法进行了筛选与评估。