International Journal of Information Technology

Vol. 27 No. 1 2021

Editorial for

International Journal for Information Technology (IJIT)
Special Issue on Knowledge Graph

Knowledge graphs are large networks of entities, their semantic types, properties, and relationships between entities. There has been a rise in the number of knowledge graphs, including some of the most popular such as YAGO, DBpedia, Wikidata, and the Google Knowledge Vault. They have become a powerful asset for search, analytics, recommendations, and data integration, as a means to add context and depth to machine learning and generate human-readable explanations.

This issue aims to assemble contributions from across a range of digital practices that specifically address the challenges in the knowledge graph. Inside it, we invite researchers and practitioners to discuss techniques and experience designing novel knowledge graph solutions, covering topics in education, E-commerce, and health. On behalf of the IJIT Editorial Board, I hope that this special issue can provide our readers with examples and insight of how knowledge graph is conceived, designed, and/or implemented and can make a positive impact on societal issues.

Yours Sincerely

Chunyan Miao, Chief Editor