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A Study on Synchronization Effect of A Multi-dimensional Event Database for Big Data Information Sharing (빅 데이터 분석정보 공유를 위한 다차원 이벤트 데이터베이스의 동기화 효과 연구)

  • Lee, Choon Y.
    • Journal of Digital Convergence
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    • v.15 no.10
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    • pp.243-251
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    • 2017
  • As external data have become important corporate information resources, there are growing needs to combine them with internal data. This paper proposes an ontology-based scheme to combine external data with multi-dimensional databases, which shall be called multi-dimensional event ontology. In the ontology, external data are represented as events. Event characteristics such as actors, places, times, targets are linked to dimensions of a multi-dimensional database. By mapping event characteristics to database dimensions, external event data are shared via multi-dimensional hierarchies. This paper proposes rules to synchronize information sharing in multi-dimensional event ontology such as upward event information sharing, downward event information sharing and complex event information sharing. These rules are implemented using Protege. This study has a value in suggesting Big Data information sharing processes using an event database framework.