Question: Graph databases provide the foundation for storing relationships, semantic web standards enable meaningful structure and reasoning, and AI/NLP automates the extraction and linking of data. How could these technologies work together to solve a real-world problem in your field? What challenges might you face when integrating them?”
Reflect on the individual contributions of each technology.
Consider synergies between them when applied to a specific use case.
Identify potential barriers to implementation, such as scalability, data quality, or tool interoperability.
I’m working on a portfolio project to build a tool for curating and sharing bookmarks and citations from articles found on the Web: LinkedIn, blogs, Twitter, any web site. This is in the field of personal content and shared knowledge management.
Using this tool, individuals will capture bookmarks with metadata comparable to scholarly citations in JSON-LD format. Articles usually contain links, and the user will have the option to scrape the content and choose among links. These links would in turn be captured in a standard citation format.
Graph data is the natural structure for a semantic layer for this applications. I would create an ontology that captures entities for articles, authors, users, and bibliographic information. Fortunately, ontologies exist, and I would include them, rather than reinventing. (FOAF, ORKG?)
AI/NLP comes into play for (local / personal) analysis and capture of information contained in cited material. One of the challenges would be to make this a) fast and b) feasible without access fees.
Nice-to-have: a chatbot to interrogate the materials captured, and to help capture the personal information that would help others use the citations.
As for the KG itself, I’d prefer to keep all data local, but there are only a few technologies that can be deployed so easily. For version 1 I would run a database (eg supabase) in the cloud. This would create challenges around security and privacy. I’ll watch Samsung carefully to see if and how they deploy personal KG tech based on their acquisition of RDFox.