Developing a research ideas creation system through reusing knowledge bases for ontology construction

Jing, D, Yang, H, Shi, M and Zhu, W (2015) 'Developing a research ideas creation system through reusing knowledge bases for ontology construction.' In: Ahamed, S.I, Chang, C.K, Chu, W, Crnkovic, I, Hsiung, P-A, Huang, G and Yang, J, eds. Proceedings: 2015 IEEE 39th Annual Computer Software and Applications Conference Workshops. IEEE Computer Society, Los Alamitos, pp. 175-180. ISBN 9781467365642

Official URL: https://doi.org/10.1109/COMPSAC.2015.228

Abstract

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.

Item Type:	Book Chapter or Section
Note:	ISSN 0730-3157
Keywords:	Ontologies, Knowledge based systems, Semantics, Algorithm design and analysis, Syntactics, Merging, Data mining
Divisions:	Bath School of Design
Identification Number:	https://doi.org/10.1109/COMPSAC.2015.228
Date Deposited:	20 Mar 2017 16:01
Last Modified:	05 Jan 2022 16:07
URI / Page ID:	https://researchspace.bathspa.ac.uk/id/eprint/9428

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