文献类型：期刊文献

英文题名：Knowledge-based semantic reasoning for creativity

作者：Jing, Delin[1]; Tian, Yingchun[2]; Zhang, Chi[3]; Yang, Changchun[1]; Yang, Hongji[4]

第一作者：Jing, Delin

通讯作者：Tian, Yingchun

机构：[1] School of Information Science and Engineering, Changzhou University, Changzhou, 213164, China; [2] Aliyun School of Big Data, Changzhou University, Changzhou, 213164, China; [3] Collaborative Innovation Center of ETourism, Tourism College, Beijing Union University, Beijing, 100101, China; [4] School of Informatics, Leicester University, Leicester, LE1 7RH, United Kingdom

第一机构：School of Information Science and Engineering, Changzhou University, Changzhou, 213164, China

年份：2020

卷号：16

期号：5

起止页码：800-810

外文期刊名：International Journal of Performability Engineering

收录：EI(收录号：20202408814804);Scopus(收录号：2-s2.0-85086140965)

基金：This work was supported in part by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 19KJB520021) and the CERNET Innovation Project (No. NGII20180125, NGII20180706). The authors are grateful to the area editor and the anonymous reviewers for their valuable comments and suggestions for this paper.

语种：英文

外文关键词：Application programs - Inference engines - Semantics

摘要：Creativity can be challenging in the idea generation process as it is hard to formalise and control. However, there are requirements for creative ideas in many fields. Generating new and inspirational ideas is mainly manual work, and it usually happens in the individual human mind or a group of persons. There is a lack of software systems to generate creative ideas automatically. In this paper, a prototype software system based on a semantic reasoning method is proposed for assisting creativity in the general idea generation process. The kernel algorithm of the system is a set of inference rules designed on the basis of semantic computing technologies and creativity techniques, which is the core of the semantic reasoning. The fundamental information supporting the inference are domains knowledge managed as ontology bases. Furthermore, a major recommender is designed and implemented by employing the proposed idea creation method to enhance the inspiration level of university choice for teenagers. As a prototype software system, the developed major recommender application proves the feasibility and innovation of the proposed method. ? 2020 Totem Publisher, Inc. All rights reserved.