디지털 기술의 발전과 함께 디지털 저작물의 자유로운 유통환경이 갖춰지면서 불법적인 저작물 유통이 저작권산업 성장을 저해하고 있다. 네트워크를 통하여 불법 유통되는 저작물을 차단하기 위해서 다양한 기술적 조치들이 취해지고 있으며, 최근에는 기 배포되어있는 저작물에 대해서도 차단할 수 있는 특징기반 필터링 기술이 웹하드 서비스를 제공하는 사업자를 중심으로 다수 채택되고 있다. 특징기반 필터링 기술은 해당 저작물에 대한 특징 DB를 사전에 구축해야하며, 이를 위해서는 원본 저작물에 대한 접근이 필요하다. 그러나 원본 저작물의 접근에 대한 중복성과 신뢰성 문제가 해결되지 않고 기술업체가 개별적으로 특징 DB를 구축하고 있기 때문에 효과적인 표준 인터페이스의 필요성이 대두되고 있다. 본 연구에서는 제3자에 의해서 신뢰성 있는 표준인터페이스를 제공하여 특징 DB를 효과적으로 구축할 수 있는 시스템을 설계하였다.

The air logistics process is complex and needs many informations because various agencies participate in the logistics service and many stakeholders in air logistics. But it is hard to improve the infra of facilities because of an enormous expense, so air logistics process has to simplify for growing air freight. Nevertheless some documents are same, they should be changed due to different format. Also documents have to change even though different documents have same informations. Consequently, errors are increased because the names of the same data are different from each other and stakeholders have to reproduce the documents. In order to mitigate these problems, we selected documents and analyzed document data for the interface optimization in general air logistics process. Next, we unified the data names and defined contents of data. Also we set the type of the defined data on DB type, and gave the code to the defined data. It made easy to exchange informations among the stakeholders to match documents corresponding with the defined data. Finally, the simulation of air logistics processes was performed the quantitative analysis of the data that occur in the air logistics. In conclusion, we expect to reduce the inefficiency such as reproduction of data and the errors by improving the interface of information.

The air logistics process is complex and need many informations because various agencies participate in the logistics service and there are many stakeholders in air logistics. But it is hard to improve the infra of facilities because of an enormous expense, so it needs to simplify air logistics process for growing air freight. When documents are sent, it needs to change the form of documents in spite of same document due to different form by agencies. Also documents are changed even though different documents have same informations. Consequently, errors are increased because the names of the same data are different from each other and stakeholders reproduce the documents. In order to mitigate these problems, we selected documents and analyzed data of documents for the interface optimization in general air logistics process. Next, we unified the names of data and defined contents of data. Also we set the type of the defined data on DB type, and gave the code to the defined data. It made easy to exchange informations among the stakeholders to match documents corresponding with the defined data.