Recently, as the importance of the semantic web is being magnified, the amount of data represented by ontology is increasing explosively. The relationships between data in ontology databases are used to reveal undisclosed knowledge in the data. Many systems have been proposed to find complex relationships between data in mass ontology databases with the help of machines. However, existing systems search for unnecessary relationships because interesting relationships are not known in advance. This causes a degradation of search performances. In this paper, we propose a novel relationship finding system. The proposed system utilizes relationships between classes to find the relationships between data. It quickly finds various and complicated relationships and dramatically reduces the searching of unnecessary relationships. Finally, to verify the superiority of our system, we compare our system with existing systems in various experiments.
Journal Title
Information : an international interdisciplinary journal