Recommending Entities for E-R Model by Ontology Reasoning Techniques
Xu Xiao-Xing, Ouyang Dan-Tong, Liu Jie, Yuxin Ye · Frontiers in artificial intelligence and applications · 2016
Designing E-R model is still the key process for database design. This paper proposes a novel method to recommend entities for E-R model by OWL ontology. OWL ontology is open and shared knowledge which can be easily obtained for anybody from the internet. We adopt ontology reasoning techniques to capture domain concepts according to a set of predefined vocabularies. Some corresponding concepts in OWL ontology are pinpointed by a preprocessing module first. Then these concepts used as seeds are extended, deleted and modified by an operation module. We can acquire reasonable entities for E-R model through a series of processes. Based on experimental study the entities recommended by this method approach the expert level.