Abstract
Problem statement: As performance of mobile devices is developed highly, several kinds of data is stored in mobile devices. For effective data management and information retrieval, some researches to apply ontology concept to mobile devices are progressed. However, in conventional researches, they apply conventional ontology storage structure used in PC environment to mobile platform. Conclusion/Recommendations: Therefore, performance of search about data is low and not effective. Therefore, we suggested new ontology storage schema with ontology path for effective hierarchical information in mobile environment.
Highlights
Precise information retrieval of the requested information is more important than just fast search of the data (Herman, 2003; Decker et al, 2000; Shadbolt et al, 2006)
Because mobile devices have lower processing capacity than PC and laptop, effective information retrieval or information recommendation services based on the ontology cannot be provided in performance aspect until now
Performance test: Ontology modeling for test dataset: The ontology includes relationship and hierarchical information among data sources applications such as contacts, SMS, MMS. email, music. picture, video
Summary
A path attribute and a root_id attribute, for information about hierarchical structure between classes and Definition 1 (Node constitution in the data graph) properties. Case 2-2 we analyze the schema for the OWL document and represents the case where a leaf node does not have create a data graph with a hierarchical relationship sibling nodes that have not been visited. In this case, we between classes and properties Performance evaluation: In this study, we execute comparative performance evaluation with 3 storage structure: Sesame structure (Broekstra and Harmelen, 2001), Dual (Data Info. + Hierarchical Info.) structure (Woo et al, 2008) and suggested structure
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