Developing a Research Ideas Creation System through Reusing Knowledge Bases for Ontology Construction

• Main Authors: Jing, Delin, Yang, Hongji, Shi, Meiyu, Zhu, Wei
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithm design and analysis; Applications programs; Computer programs; Construction; creative computing; Creativity; Data mining; ideas creation; Knowledge base; Knowledge based systems; Knowledge representation; knowledge reuse; Merging; Ontologies; ontology; research topics; Reuse; Semantics; Software; Syntactics
• ISSN: 0730-3157
• DOI: 10.1109/COMPSAC.2015.228

Ideas creation is an important activity in various scenarios while research is one of them. A considerable number of research studies have been made in the past years in improving tools and methods to support idea generation. However, creativity of ideas has only been studied in sporadic attempts, and most of them only share little similarity in conditions. Moreover, since knowledge is the basis of all kinds of idea generation, knowledge reuse is very valuable in order to enhance the generation process and the results' quality including creativity. Besides the idea generation methods and techniques have recently been developed in our earlier work, this study focuses on the reuse of the knowledge bases for ontology construction. It aims to enhance the effectiveness and innovation of generated research ideas. Specifically, this paper presents an ideas creation framework with knowledge reuse process as a creative computing. In particular, ontologies merging techniques with supporting algorithms are proposed and designed. Furthermore, a case study is presented with reused and new-formed ontologies, in which formal algorithms are used to calculate and incorporate the knowledge reuse. The main contribution of this paper is a set of rules to support knowledge reuse for the ontology construction in the ideas creation framework.