A knowledge graph is large networks of entities, their semantic types, properties, and relationships between entities. It ultimately facilitates the creation of information necessary for machines to understand the world in the manner that humans do. Companies that aim to serve intelligent services such as Google, Microsoft, or IBM are applying the knowledge graph widely to its real-world services. 

Obtaining a primary data source is critical to construct a knowledge graph, since building a new knowledge from scratch is not trivial. As we have already experienced, Wikipedia as open data has been widely used for constructing new knowledge across a variety of domains. Recently, significant amounts of data are published as open data in research, commercial and governments. These data can be a starting point for constructing a domain-specific knowledge graph through the interlinking of heterogeneous data. 

This workshop aims to share and discuss about knowledge graph techniques based on open data both academia and industries. In particular, this workshop focuses on various use cases including data wrangling, data analysis, data visualization in the prospect of Data Science, and technical challenges to construct structured knowledge from large-scale raw data (focused on open data).

Submission Guidelines

Because we are looking to promote discussion about an emerging area, we encourage authors to submit various types:

• Works-In-Progress: To facilitate sharing of thought-provoking ideas and high-potential though preliminary research, authors are welcome to make submissions describing early-stage, in-progress, and/or exploratory work.
• Demonstrations: Demos should be submitted as video (e.g. MP4). Demos should be submitted with an abstract or short paper. Submitted demo videos should be no longer than 5 minutes.
• Traditional Papers: short paper (2 pages) or long paper (5 to 10 pages)
• Posters

Committees

Program Committee

• Simon Scerri, Fraunhofer IAIS, University of Bonn
• Brahmananda Sapkota, Samsung Electronics, Co. Ltd.
• TBD

Organizing committee

• Haklae Kim, Chungang University
• Jangwon Kim, Kunsan University
• Yuchul Jung, Kumoh National Institute of Technology
• Dongjun Seo, Kyungbook Univeristy
• Mingjung Lee, Sejong Cyber University
• Jisung Son, Korea Institute of Science and Technology Information

Contact

If you have any questions, please feel free to send an email to [haklaekim@gmail.com](mailto:haklaekim@gmail.com)