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IJIBC 13-1-4

An Architecture for Efficient RDF Data Management Using Structure Index with Relation-Based Data Partitioning Approach

초록

영어

RDF data is widely used for exchanging data nowadays to enable semantic web era. This leads to the need for storing and retrieving these data efficiently and effectively. Recently, the structure index in graph-based perspective is considered as a promising approach to deal with issues of complex query graphs. However, even though there are many researches based on structure indexing, there can be a better architectural approach instead of addressing the issue as a part. In this research, we propose architecture for storing, query processing and retrieving RDF data in efficient manner using structure indexing. Our research utilizes research results from iStore and 2 relation-based approaches and we focus on improving query processing to reduce the time of loading data and I/O cost.

목차

Abstract
 1. Introduction
 2. Related work
 3. Architecture for RDF data management
  3.1 Structure index graph
  3.2 Index graph management
  3.3 Query processing
  3.4 Data processing
 4. Conclusion
 Acknowledgement
 References

저자정보

  • Duc Nguyen Department of Computer Engineering, Ajou University, Korea
  • Sang-yoon Oh Department of Computer Engineering, Ajou University, Kore

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