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.
We invite submissions in the areas and intersections of Data Science and Knowledge Graph, potential topics include but are not limited to the following:
- Construction and Querying of Knowledge Graphs
- Knowledge Graph Expansion and Enrichment
- Open sources for knowledge Graph Management
- Quality Measurement of Knowledge Graphs
- Knowledge representation for domain-specific data
- Knowledge Expansion using Government Open Data
- Semantic Integration for Government Open Data
- Open Data Quality Management
- Visualization for Open Data
- Advanced Search and Discovery for Open Data Portals
- Applications of Knowledge Graphs and Open Data
* Paper submission: April 1, 2019
* Paper acceptance notifications: April 28, 2019
* Paper camera ready: May 15, 2019- Extended abstracts (2 pages) or short paper (2 to 5 pages). Papers should be in PDF format and not anonymized.
- Posters should be in PDF, PNG, or GIF
- Demos should be submitted as video in MP4. Demos should be submitted with an abstract or short paper. Submitted demo videos should be no longer than 7 minutes; if accepted, a longer video or live demo may be invited.
Submissions should be made to DSKG2019 on EasyChair.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: Presentations of functioning technology with a short paper.
- Posters
- White Papers
- Traditional Papers
- Brahmananda Sapkota, Samsung Electronics, Co. Ltd.
- Simon Scerri, Fraunhofer IAIS, University of Bonn
- TBD
- 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
If you have any questions, please feel free to send an email to haklaekim@gmail.com