In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

To solve the information explosion problem and enhance user experience in various online
applications, recommender systems have been developed to model users' preferences …

Recently, the term knowledge graph has been used frequently in research and business,
usually in close association with Semantic Web technologies, linked data, large-scale data …

Recommender Systems (RS) are established to deal with the preferences of users to
enhance their experience and interest in innumerable online applications by streamlining …

The emergence of various disruptive technologies such as big data, Internet of Things, and
artificial intelligence have instigated our society to generate enormous volumes of data. The …

Electronic health records (EHR) contain patients' health information in varied formats such
as clinical reports written in natural language, X-rays, MRI, case/discharge-summary, etc …

Place descriptions are used in everyday communication as a common way to convey spatial
information. Processing the information from place descriptions poses multiple significant …

Knowledge-base is a fundamental platform in the architecture of an intelligent system.
Relations and operators are popular knowledge in practice knowledge domains. In this …

Visualized knowledge representation can more effectively help the public gain knowledge
about lung cancer prevention, diagnosis, treatment, and subsequent life. Therefore, this …

Personal health records (PHRs) present an increasing significance for individual healthcare
management. However, Lack of an effective personal health record (PHR) system prohibits …