Extracting Semantic-preserved Ontology from Relational Database
Wang Songqing, Zhuang Miao, Yingpeng Du, Li Yang, Jiabao Wang · 2016
To solve the problems that ontology is lack of semantic information in ontology extraction, the advantages and disadvantages of methods that building ontology from database are analyzed and we find that the maximum semantic ability of ER model is ALUIN.On the base of our research, a method of extracting semantic-preserved ontology is proposed.The method is the base of ontology storage and query.The experiment shows that our algorithm can preserve the semantic meaning and has the low complexity.