2015 IEEE 39th Annual Computer Software and Applications Conference 2015
DOI: 10.1109/compsac.2015.228
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Developing a Research Ideas Creation System through Reusing Knowledge Bases for Ontology Construction

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Cited by 5 publications
(4 citation statements)
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“…Besides, sets of abstraction algorithms and mapping rules have been designed in our previous work [47]. Furthermore, the knowledge base reuse method is proposed with corresponding rules designed in our recently accepted conference paper [48]. The designed algorithms and rules are high-level protocols, which can be extended as specific rules in particular bespoke ideation system.…”
Section: B Bespoke Ideationmentioning
confidence: 99%
See 1 more Smart Citation
“…Besides, sets of abstraction algorithms and mapping rules have been designed in our previous work [47]. Furthermore, the knowledge base reuse method is proposed with corresponding rules designed in our recently accepted conference paper [48]. The designed algorithms and rules are high-level protocols, which can be extended as specific rules in particular bespoke ideation system.…”
Section: B Bespoke Ideationmentioning
confidence: 99%
“…Moreover, as explained in the bespoke ideation approach, specific rules should be designed for ontology reuse in the future, so that the system can keep the domain ontology up-to-date by combining the domain ontology creation and ontology reuse functions. There are some rules designed in high abstraction level to guide the ontology reuse, which have been presented in our recently accepted conference paper [48]. Syntactic similarity and semantic similarity are considered in the ontology reuse rules, whilst calculations on degrees of ontology reuse and idea reuse are designed in the ontology reuse rules.…”
Section: Case Studymentioning
confidence: 99%
“…An approach [5] is proposed to generate ideas with the help of a domain ontology, in which the gap between knowledge collection and mental thought is bridged. A designed method can be employed to assist on extracting ontology as knowledge for specific domains [6]. Then, based on knowledge combination, ideas are formed supported by other techniques, which are required by applications.…”
Section: Ideation-software Creation: By Individual or By Mass Collabomentioning
confidence: 99%
“…Based on the domain knowledge gathered and processed via designed abstraction method, the system computes based on selected and designed methods to achieve diversion thinking and form new ideas. By employing Creative Computing, exploration, transformation and combination are adopted as kernel activities of its computing step to generate initial ideas [6]. Exploration activity looks for possibilities within a matured domain by searching relevant knowledge base.…”
Section: Ideation-software Creation: By Individual or By Mass Collabomentioning
confidence: 99%