Bringing Agility into Linked Data Development: An Industrial Use Case in Logistics Domain

نویسندگان

  • Pinar Göçebe
  • Oguz Dikenelli
  • Umut Kose
چکیده

Logistics is a complex industry where many different types of companies collaborate in order to transport containers to the last point. One of the most important problem in logistics domain is observation and monitoring of container life cycle where each step of the container transportation may be performed by different company. Thus, observing and monitoring of the container’s life cycle in real time become a challenging engineering task. In this research, Linked Data development infrastructure has been used to implement dynamic container observation and monitoring system for ARKAS company which is the leading logistics company in Turkey. During the development of the system, it has been observed that agile practices like feature/story oriented development, test first development and usage of Agile Architecture approach improves the product and project management quality. So, a new methodology has been proposed based on these practices for Linked Data development.

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تاریخ انتشار 2015