i-LOD: Industrial Linked Open Data System for Semantic Integration of Industrial Real-time Data in Smart City

Abstract

Recently, in the smart city, there is a growing demand for integrating various data collected from different vertical services. The collected data is used to create linked open data that provides meaning to various smart city industrial services such as smart factory and smart grid. In this demonstration, we introduce a system called i-LOD showing how to collect, link and share industrial internet data generated in various industries of Smart City using Linked Open Data(LoD) and Internet-of-Things(IoT) platform. i-LOD annotates semantic meta-data to raw industrial data to encode the meaning of it and relationship with other correlated data to be interpreted by machines without human intervention. This enables the creation of intelligent smart city applications and supports reasoning mechanisms for various industrial internet services. In addition, i-LOD provides a data visualization service allowing to explore stored data and a SPARQL endpoint to facilitate the users searching target and correlated data for the creation of intelligent services. This capability enhances access to open data and supports citizens or industrial service providers interested in understanding various data and their relationship.