Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

Abstract Knowledge graphs are typical large-scale multi-relational structures and useful for
many artificial intelligence tasks. However, knowledge graphs often have missing facts …

Information mining and semantic analysis have gained significant attention over recent
years to obtain appropriate information from unstructured data. Several approaches have …

The prominence of the Chinese language as a United Nations official language has sparked
significant interest, leading to this research on international Chinese education (ICE). This …

Big Data is data whose shape and volume are rising with the passage of time and
innovations in technology. This increase will give birth to more uncertain and complex …

More and more medical images are being produced quickly by modern imaging devices that
are connected to the Internet of Things (IoT). For the retrieval of necessary images from a …

The remarkable development in technology has led to the increase of massive big data.
Machine learning processes provide a way for investigators to examine and particularly …

Integrating data from various standalone data sources into a centrally managed data storage
has been recognized by data integration practitioners and authors as a slow and daunting …

Data have been collected by communities for analysis, visualization, predictions and other
activities to support data-driven decision. Obtaining value from data assets directly depends …

Data model is a key challenge for crowd-powered data applications. However, current data
model cannot effectively express semantic relations to support big data management …