From Unknown to Workflow: A Network Science Knowledge Graph for Researchers
Emma Meno, College of Engineering, Computer Science
Kyle Vincent, College of Engineering, Computer Science
WHAT HAPPENS HERE?
Subject-matter-experts' (SMEs') research increasingly involves advanced analysis. Our proposed knowledge graph interface bridges the gap between users and workflow management systems by supporting information queries and returning workflows. We plan to demo our graphical application and interface.
WHAT WAS THE PROCESS?
Our project is part of the Multimedia, Hypertext, and Information Access capstone. We have been parsing through previous CS 5604 (Information Storage & Retrieval) projects to identify triples for building the ontology and knowledge graph. Parallel to extracting triples, we are working on developing the knowledge graph architecture, involving researching Neo4J and GRANDStack infrastructure. The most difficult part of the project has been determining whether tools provide viable path queries.