Knowledge Graph Syntax Validation and Visual Navigation for Developing Intelligent Systems
Abstract
Intelligent systems depend on effective knowledge representation and knowledge-based decision-making. While OWL is the dominant industry standard for knowledge representation, it has some limitations which include the lack of support for custom relations, it’s reliance on the single “is-a” relation, and the emulation of other relations via complex object and data properties. Pace University has extended OWL to support knowledge graph as a replacement to better support knowledge representation and decision-making. One of the challenges is how to better support domain experts to create knowledge graphs and verify their correctness. Since a real-life knowledge graph can easily contain hundreds or thousands of classes with complex inter-relations, it is a major challenge for domain experts to review and validate their knowledge representation, and hard for application developers to fully understand the complex relations among the classes. This research contributes a knowledge graph syntax validation algorithm and two knowledge graph visualization tools. Use cases such as the Cyber Security Communications Facilitator are used to verify the correctness and effectiveness of the contributed solutions.
Subject Area
Computer science
Recommended Citation
Asamoah, Claude, "Knowledge Graph Syntax Validation and Visual Navigation for Developing Intelligent Systems" (2016). ETD Collection for Pace University. AAI10140659.
https://digitalcommons.pace.edu/dissertations/AAI10140659
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