With the advent of the electric power big data era, semantic interoperability and
interconnection of power data have received extensive attention. Knowledge graph …

Background: With the increasing incidences and mortality of digestive system tumor
diseases in China, ways to use clinical experience data in Chinese electronic medical …

With the development of cutting-edge IT technologies, eg Big Data, Knowledge Engineering,
etc., traditional Intellectual Property (IP) services have depicted high redundancy and low …

The sharp growth of distributed energy-related resources requires an efficient energy
management for future grids. The traditional power grid that highly depends on information …

A great deal of substation engineering projects data and knowledge has been accumulated
in the field of electric power survey and design. However, the lack of knowledge mining …

In this work we have proposed a model for Citizen Profiling. It uses veillance (Surveillance
and Sousveillance) for data acquisition. For representation of Citizen Profile Temporal …

Abstract In 2021, more than 5.5 million new devices will be connected to the Internet of
things every day. The discovery and access of IoT sensors are difficult to adapt to the growth …

Two significant challenges remain in the current Internet of Things (IoT) application,
especially in the IoT application of rural sewage treatment.(1) Non-smart devices are hard to …

Knowledge graph (KG) are powerful tools for organizing and managing knowledge, and
have been widely applied in many fields. KG describes the objective physical world …

Knowledge graph (KG) is a database that stores the information and relationship between
entities in the form of graph. This paper presents a knowledge graph construction method for …