A recent client project has again brought to my attention two important benefits of W3C standards around semantic technologies and graph data:
Why RDF? Because it protects your investment!
In the wonderful talk "Design in Practice", Rich Hickey talks about how important an up-to-date glossary is in the design process.
I have a similar view, and see something like "Business Knowledge Blueprints" as an important foundation for business applications and especially for (enterprise) knowledge graphs.
Mostly a fully automatic translation through deepl - I started to think about this in german...
Or Reify vs. RDF Star. Or Davidsonian event semantics for modeling.
I think I got the above example with Caesar from John Sowa's "Knowledge Representation", that I unfortunately lent and never got back, so the exact page reference is missing.
Today I listened to the workshop "Democratize the Knowledge Graph and Concrete Tooling Requirements" by Adam Keresztes at the 2023 Knowledge Graph Conference in NYC.
Different people there emphasized the difficulty of explaining the difference between classes and instances to non-ontologists.
Which had me reflecting on how I work with this terminology, and I found that I tend to use 'set' instead of 'class'.
Yesterday I was at the Connected Data Meetup in London, and listened to a presentation advocating taxonomies as starting points for ontology creation, by Madi Weland Solomon.
She didn't discuss this at length, so the following is my understanding, all errors and bad ideas are mine :)
When I read the article "Knowledge Graphs: Opportunities and Challenges" this morning, I thought again about the relationship between symbolic AI, say, in the form of the Semantic Web, i.e. RDF and OWL, and statistical AI in the form of neural networks, language models and transformers.
ChatGPT shows how far statistical AI has come, here we can clearly see approaches to general intelligence, AGI.
Our company is proud to have a diverse and talented team of partners, each with their own areas of expertise and specialization.
Markus Graf is a security specialist and software developer with a focus on the HR field. He is knowledgeable in HR processes, graph databases, and Clojure, and has a strong understanding of internet security.
Axel Timo Purr is a writer, journalist, and film critic with a specialization in African culture and politics, as well as children's and youth cinema.
Dennis Wehrmann is a designer with expertise in visual communication and branding.
Markus Anderwald is also a designer with a focus on user experience and interface design.
Together, our partners bring a wealth of knowledge and experience to our company, and we are grateful to have them as part of our team.
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Business model blueprints are a powerful tool for identifying the basic structure and requirements of a business. By working with a coach or facilitator to create a business model blueprint, organizations can gain a clearer understanding of their business model and how it fits into the broader market.
RDF, OWL, and SHACL are powerful formalisms that can be used to express and analyze the results of a business model blueprint coaching or workshop. These formalisms allow businesses to represent and manipulate data in a structured and meaningful way, enabling them to make more informed decisions about their business model and strategy.
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