Question: Considering the case studies in Level 200, how did a knowledge graph-driven approach allow these organizations to overcome content management and delivery challenges and improve user experience? What potential benefits and challenges might other organizations in different domains encounter when implementing similar knowledge graph-based solutions?
The three use cases covered in Level 200 are:
1. The Wolters Kluwer (WK) enterprise knowledge graph in Lesson 200.2 2. FIFA’s World Cup semantic publishing in Lesson 200.3 3. The ICIJ’s Panama Papers under Additional Resources
I enjoyed the walkthroughs of the knowledge graph applications.
Dennis Diefenbach explained how to use knowledge graphs to visualize data from Wikimedia. With this technique open source resources allowed the understanding and modeling of KGC. Also, Dennis contributed data on KGC participants to the knowledge graph.
This could be applied, as in the ontotext blog, to make statistical analysis of advertising. This solves challenges by making advertising more engaging to a particular audience.
Allard Oelen, Sanju Tiwari, and Azanzi Jimeokong explained Open Research Knowledge Graph and how researchers and academics model and understand peer information. This allows people to have a better understanding of their domain, and therefore, more novel research.
With so much availability of data it may be tough to generate original ideas. Someone may spend years learning a topic just to find out that it has already been fully researched. It is important to always write down ideas and to constantly get feedback of other knowledge out there.