用IBM Watson辅助企业生成创意，挖掘知识间新关联。
A Cognitive Ideation Support Framework using IBM Watson Services
- 基于联想记忆模型，利用Watson检索并关联内外部知识
- 通过创意评估标准验证，生成想法的创造性显著提升
- 适合需要创新支持的企业研发与战略规划团队
创意生成是组织创新的核心活动。生成创意的创造力不仅取决于从组织知识库中检索到的知识，还依赖于从外部资源获取的知识。然而，由于搜索和检索机制在处理非结构化数据时能力有限，组织往往无法高效利用知识库中的信息。本文提出一种基于IBM Watson DeepQA服务的认知创意支持框架。IBM Watson是一个模拟人类认知能力的问答系统，能够有效检索和排序信息。所提框架基于联想记忆中的创意搜索（SIAM）模型，帮助组织通过发现检索数据之间的新关系来生成更具创造性的想法。为评估系统有效性，使用既定的创意评价标准对生成的想法进行筛选与评估。
原文摘要 · Abstract (English)
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.
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