Reference Materials for Beginners

Reference Materials for Beginners

Here are introduced some technical materials that can be helpful to enter the Challenge.

You can learn more about the Challenge itself by first reading:
・Report on the First Knowledge Graph Reasoning Challenge 2018 -Toward the eXplainable AI System- [Springer Link] [arXiv] [SlideShare]

1. What is Knowledge Graph Reasoning Challenge?
   1. Report on the First Knowledge Graph Reasoning Challenge 2018 -Toward the eXplainable AI System- [Springer Link] [arXiv] [SlideShare]
   2. Knowledge Graph Reasoning Techniques through Studies on Mystery Stories -Report on the Knowledge Graph Reasoning Challenge 2018 to 2020- [SlideShare] (NEW)
2. What were the approached in the past Challenges like?
   1. A Logical Approach to Criminal Case Investigation (2nd prize in 2018)
   2. Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding (1st prize in 2020)
3. How can I use the Knowledge Graphs?
   The Knowledge Graphs are published in LOD and SPARQL endpoint format.
   1. Website for Open Knowledge Graphs
   2. What is LOD (Linked Open Data)?
   3. What is SPARQL?
   4. Sample SPARQL queries for the Challenge
4. Where can I find articles for reference?
   Please use the followings as reference. The license of the data set is: CC-BY: JSAI SIG-SWO.
   1. Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System
      This is a conference paper accepted in the 9th Joint International Semantic Technology Conference 2019.
      

      Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono, Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino, Seiji Okajima, Katsuhiko Murakami, Kunihiko Takamatsu, Aoi Sugiura, Shun Shiramatsu, Xiangyu Zhang, Kouji Kozaki.: Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System, Proceedings of the 9th Joint International Semantic Tecnology Conference (JIST), pp.18-34 (2019)